Academic literature on the topic 'Insect tracking'

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Journal articles on the topic "Insect tracking"

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Ratnayake, Malika Nisal, Adrian G. Dyer, and Alan Dorin. "Tracking individual honeybees among wildflower clusters with computer vision-facilitated pollinator monitoring." PLOS ONE 16, no. 2 (February 11, 2021): e0239504. http://dx.doi.org/10.1371/journal.pone.0239504.

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Monitoring animals in their natural habitat is essential for advancement of animal behavioural studies, especially in pollination studies. Non-invasive techniques are preferred for these purposes as they reduce opportunities for research apparatus to interfere with behaviour. One potentially valuable approach is image-based tracking. However, the complexity of tracking unmarked wild animals using video is challenging in uncontrolled outdoor environments. Out-of-the-box algorithms currently present several problems in this context that can compromise accuracy, especially in cases of occlusion in a 3D environment. To address the issue, we present a novel hybrid detection and tracking algorithm to monitor unmarked insects outdoors. Our software can detect an insect, identify when a tracked insect becomes occluded from view and when it re-emerges, determine when an insect exits the camera field of view, and our software assembles a series of insect locations into a coherent trajectory. The insect detecting component of the software uses background subtraction and deep learning-based detection together to accurately and efficiently locate the insect among a cluster of wildflowers. We applied our method to track honeybees foraging outdoors using a new dataset that includes complex background detail, wind-blown foliage, and insects moving into and out of occlusion beneath leaves and among three-dimensional plant structures. We evaluated our software against human observations and previous techniques. It tracked honeybees at a rate of 86.6% on our dataset, 43% higher than the computationally more expensive, standalone deep learning model YOLOv2. We illustrate the value of our approach to quantify fine-scale foraging of honeybees. The ability to track unmarked insect pollinators in this way will help researchers better understand pollination ecology. The increased efficiency of our hybrid approach paves the way for the application of deep learning-based techniques to animal tracking in real-time using low-powered devices suitable for continuous monitoring.
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Shen, Minmin, Chen Li, Wei Huang, Paul Szyszka, Kimiaki Shirahama, Marcin Grzegorzek, Dorit Merhof, and Oliver Deussen. "Interactive tracking of insect posture." Pattern Recognition 48, no. 11 (November 2015): 3560–71. http://dx.doi.org/10.1016/j.patcog.2015.05.011.

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Pannequin, Rémi, Mélanie Jouaiti, Mohamed Boutayeb, Philippe Lucas, and Dominique Martinez. "Automatic tracking of free-flying insects using a cable-driven robot." Science Robotics 5, no. 43 (June 10, 2020): eabb2890. http://dx.doi.org/10.1126/scirobotics.abb2890.

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Flying insects have evolved to develop efficient strategies to navigate in natural environments. Yet, studying them experimentally is difficult because of their small size and high speed of motion. Consequently, previous studies were limited to tethered flights, hovering flights, or restricted flights within confined laboratory chambers. Here, we report the development of a cable-driven parallel robot, named lab-on-cables, for tracking and interacting with a free-flying insect. In this approach, cameras are mounted on cables, so as to move automatically with the insect. We designed a reactive controller that minimizes the online tracking error between the position of the flying insect, provided by an embedded stereo-vision system, and the position of the moving lab, computed from the cable lengths. We validated the lab-on-cables with Agrotis ipsilon moths (ca. 2 centimeters long) flying freely up to 3 meters per second. We further demonstrated, using prerecorded trajectories, the possibility to track other insects such as fruit flies or mosquitoes. The lab-on-cables is relevant to free-flight studies and may be used in combination with stimulus delivery to assess sensory modulation of flight behavior (e.g., pheromone-controlled anemotaxis in moths).
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Cai, Z. J., and Li Jiang Zeng. "A Fast Search Coil Sensing Method for Tracking Systems." Key Engineering Materials 295-296 (October 2005): 601–6. http://dx.doi.org/10.4028/www.scientific.net/kem.295-296.601.

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It is important to track a free flying insect to investigate its flight performance. Conventional video tracking systems are difficult to track a highly maneuverable insect, because the capture frequency of the camera is limited and it can hardly get the position of the insect in real time. We proposed a fast sensing method for insect tracking based on magnetic search coil sensors. It can simultaneously determine the orientation and position of the sensors. We constructed a system, calibrated the magnetic device. We developed a set of calculating methods and measured several positions and angles of coil sensors. The results show that it can rapidly provide the tracking feedback information to meet the requirement for insect tracking.
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Schachat, Sandra R., Conrad C. Labandeira, Matthew R. Saltzman, Bradley D. Cramer, Jonathan L. Payne, and C. Kevin Boyce. "Phanerozoic p O 2 and the early evolution of terrestrial animals." Proceedings of the Royal Society B: Biological Sciences 285, no. 1871 (January 24, 2018): 20172631. http://dx.doi.org/10.1098/rspb.2017.2631.

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Concurrent gaps in the Late Devonian/Mississippian fossil records of insects and tetrapods (i.e. Romer's Gap) have been attributed to physiological suppression by low atmospheric p O 2 . Here, updated stable isotope inputs inform a reconstruction of Phanerozoic oxygen levels that contradicts the low oxygen hypothesis (and contradicts the purported role of oxygen in the evolution of gigantic insects during the late Palaeozoic), but reconciles isotope-based calculations with other proxies, like charcoal. Furthermore, statistical analysis demonstrates that the gap between the first Devonian insect and earliest diverse insect assemblages of the Pennsylvanian (Bashkirian Stage) requires no special explanation if insects were neither diverse nor abundant prior to the evolution of wings. Rather than tracking physiological constraint, the fossil record may accurately record the transformative evolutionary impact of insect flight.
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Fang, Linlin, Weiming Tian, Rui Wang, Chao Zhou, and Cheng Hu. "Design of Insect Target Tracking Algorithm in Clutter Based on the Multidimensional Feature Fusion Strategy." Remote Sensing 13, no. 18 (September 18, 2021): 3744. http://dx.doi.org/10.3390/rs13183744.

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Entomological radar is an effective means of monitoring insect migration, and can realize long-distance and large-scale rapid monitoring. The stable tracking of individual insect targets is the basic premise underlying the identification of insect species and the study of insect migration mechanisms. However, the complex motion trajectory and large number of false measurements decrease the performance of insect target tracking. In this paper, an insect target tracking algorithm in clutter was designed based on the multidimensional feature fusion strategy (ITT-MFF). Firstly, multiple feature parameters of measurements were fused to calculate the membership of measurements and target, thereby improving the data association accuracy in the presence of clutter. Secondly, a distance-correction factor was introduced to the probabilistic data association (PDA) algorithm to accomplish multi-target data association with a low computational cost. Finally, simulation scenarios with different target numbers and clutter densities were constructed to verify the effectiveness of the proposed method. The tracking result comparisons of the experimental data acquired from a Ku-band entomological radar also indicate that the proposed method can effectively reduce computational cost while maintaining high tracking precision, and is suitable for engineering implementation.
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Kinyuru, J. N., and N. W. Ndung’u. "Promoting edible insects in Kenya: historical, present and future perspectives towards establishment of a sustainable value chain." Journal of Insects as Food and Feed 6, no. 1 (February 6, 2020): 51–58. http://dx.doi.org/10.3920/jiff2019.0016.

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This paper discusses the current state and priorities of Kenya-based research and innovations on insects as food and feed with a view to establishing a vibrant insects’ value chain. The paper is divided into sections that focus on historical insect consumption, farming, utilisation and entrepreneurial priorities. The paper also introduces a new quadrat model for utilisation of edible insects which shows an interrelationship between edible insects, crops, animals and humans. The paper attempts to identify attempts on identifying social and psychological barriers to insects’ acceptance as food and feed since insects are intimately connected to strong cultural and regional values. We conclude with recommendations about the future priorities of edible insect field which include: tracking of production volumes, new innovations to support automation and industrial production, research on consumer attitudes and behaviour that is culturally sensitive, systematic, and large-scale; enactment of national and regional regulations to support the industry and unequivocal acknowledgment of the impacts of developments in the edible insect industry to national and regional development.
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Viikari, Ville, Jonathan Chisum, and Heikki Seppä. "Wireless passive photo detector for insect tracking." Microwave and Optical Technology Letters 52, no. 10 (July 14, 2010): 2312–15. http://dx.doi.org/10.1002/mop.25427.

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Bagheri, Zahra M., Steven D. Wiederman, Benjamin S. Cazzolato, Steven Grainger, and David C. O'Carroll. "Properties of neuronal facilitation that improve target tracking in natural pursuit simulations." Journal of The Royal Society Interface 12, no. 108 (July 2015): 20150083. http://dx.doi.org/10.1098/rsif.2015.0083.

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Although flying insects have limited visual acuity (approx. 1°) and relatively small brains, many species pursue tiny targets against cluttered backgrounds with high success. Our previous computational model, inspired by electrophysiological recordings from insect ‘small target motion detector’ (STMD) neurons, did not account for several key properties described from the biological system. These include the recent observations of response ‘facilitation’ (a slow build-up of response to targets that move on long, continuous trajectories) and ‘selective attention’, a competitive mechanism that selects one target from alternatives. Here, we present an elaborated STMD-inspired model, implemented in a closed loop target-tracking system that uses an active saccadic gaze fixation strategy inspired by insect pursuit. We test this system against heavily cluttered natural scenes. Inclusion of facilitation not only substantially improves success for even short-duration pursuits, but it also enhances the ability to ‘attend’ to one target in the presence of distracters. Our model predicts optimal facilitation parameters that are static in space and dynamic in time, changing with respect to the amount of background clutter and the intended purpose of the pursuit. Our results provide insights into insect neurophysiology and show the potential of this algorithm for implementation in artificial visual systems and robotic applications.
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Dixon, A. F. G., V. A. Drake, and A. G. Gatehouse. "Insect Migration: Tracking Resources Through Space and Time." Journal of Applied Ecology 33, no. 4 (August 1996): 907. http://dx.doi.org/10.2307/2404963.

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Dissertations / Theses on the topic "Insect tracking"

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Subramanian, Shreyas Vathul. "Application of Auto-tracking to the Study of Insect Body Kinematics in Maneuver Flight." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1344283656.

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Petrou, Georgios. "Kinematics of cricket phonotaxis." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/7944.

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Male crickets produce a species specific song to attract females which in response move towards the sound source. This behaviour, termed phonotaxis, has been the subject of many morphological, neurophysiological and behavioural studies making it one of the most well studied examples of acoustic communication in the animal kingdom. Despite this fact, the precise leg movements during this behaviour is unknown. This is of specific interest as the cricket’s ears are located on their front legs, meaning that the perception of the sound input might change as the insect moves. This dissertation describes a methodology and an analysis that fills this knowledge gap. I developed a semi-automated tracking system for insect motion based on commercially available high-speed video cameras and freely available software. I used it to collect detailed three dimensional kinematic information from female crickets performing free walking phonotaxis towards a calling song stimulus. I marked the insect’s joints with small dots of paint and recorded the movements from underneath with a pair of cameras following the insect as it walks on the transparent floor of an arena. Tracking is done offline, utilizing a kinematic model to constrain the processing. I obtained, for the first time, the positions and angles of all joints of all legs and six additional body joints, synchronised with stance-swing transitions and the sound pattern, at a 300 Hz frame rate. I then analysed this data based on four categories: The single leg motion analysis revealed the importance of the thoraco-coxal (ThC) and body joints in the movement of the insect. Furthermore the inside middle leg’s tibio-tarsal (TiTa) joint was the centre of the rotation during turning. Certain joints appear to be the most crucial ones for the transition from straight walking to turning. The leg coordination analysis revealed the patterns followed during straight walking and turning. Furthermore, some leg combinations cannot be explained by current coordination rules. The angles relative to the active speaker revealed the deviation of the crickets as they followed a meandering course towards it. The estimation of ears’ input revealed the differences between the two sides as the insect performed phonotaxis by using a simple algorithm. In general, the results reveal both similarities and differences with other cricket studies and other insects such as cockroaches and stick insects. The work presented herein advances the current knowledge on cricket phonotactic behaviour and will be used in the further development of models of neural control of phonotaxis.
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Taylor, Brian Kyle. "TRACKING FLUID-BORNE ODORS IN DIVERSE AND DYNAMIC ENVIRONMENTS USING MULTIPLE SENSORY MECHANISMS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1341601566.

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Poidatz, Juliette. "De la biologie des reproducteurs au comportement d’approvisionnement du nid, vers des pistes de biocontrôle du frelon asiatique Vespa velutina en France." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0778/document.

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Cette thèse CIFRE porte sur la biologie, le comportement et le biocontrôle du frelonasiatique Vespa velutina, un prédateur invasif d’abeilles. Depuis son introduction en France, ce frelonétend maintenant son aire de répartition en Europe, impactant à la fois l’environnement etl’apiculture. L’objectif de ces travaux sera d’enrichir le savoir sur cette espèce pour perturber ledéveloppement des colonies de V. velutina à différents niveaux afin d’en limiter la prolifération. Lepremier axe porte sur la biologie des reproducteurs de V. velutina, afin d’empêcher la fondation decolonies en amont. Ce travail précise les données concernant la maturation sexuelle des mâles de V.velutina, compare certains traits liés à la fertilité des fondatrices avec celles du frelon européen, etmet en évidence une plus grande précocité et fertilité de V. velutina. Le deuxième axe porte sur labiologie des colonies, de la collecte à la distribution des ressources dans le nid. A l’aide de pucesélectroniques marquant des ouvrières (technique RFID), nous avons mesuré le rayon d’action et seslimites chez les ouvrières V. velutina. En marquant de la nourriture avec des métaux lourds, nousavons pu suivre l’évolution de sa distribution dans les colonies suivant leur structure. Le troisièmeaxe porte sur le biocontrôle de V. velutina avec des champignons entomopathogènes. Nous avonsévalué l’efficacité de différents isolats et de leur mode d’application contre V. velutina, puis décrit unchampignon naturellement parasitant V. velutina. Ces travaux ont permis de faire avancer lesconnaissances sur la biologie et la physiologie des frelons, mais également de proposer des pistes decontrôle durable de l’invasion européenne de V. velutina
This CIFRE thesis deals with the biology, the behavior and the biological control of aninvasive predator of bees, the hornet Vespa velutina. Since its introduction in France, this hornet isnow invading most countries in occidental Europe, dealing damages both to the environment and thebeekeeping activity. In order to limit its proliferation, a good strategy could consist in disrupting itscolony development at different levels, explored in this work. The first axis deals with V. velutinareproductive biology, exploring the different paths to prevent colonies creation. First we describedthe sexual maturation of males in V. velutina, and second we compared different traits linked tofertility between foundresses of V. velutina and the European hornet, thus highlighting V. velutinahigher precocity and fertility potential. The second axis explored the biology of colonies, fromresource collection to resource distribution in the nest. Using RFID technic, we assessed the actionrange and its boundaries in V. velutina workers. We also labelled food and observed its distribution inV. velutina colonies in function of the colony size and structure. The third axis deals with V. velutinabiocontrol, using entomopathogenic fungi. We evaluated the efficiency of different isolates anddifferent application methods on V. velutina, and described a wild fungus found naturally parasitizingV. velutina. This work brought knowledge on biology behavior and physiology of this invasive hornet,and also proposed options that could be assayed for a durable control of V. velutina
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Talley, Jennifer Lindy. "Males Chasing Females: A Comparison of Flying Manduca sexta and Walking Periplaneta americana Male Tracking Behavior to Female Sex Pheromones in Different Flow Environments." Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1278622421.

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Mills, Clayton Harry. "Movement and Force Measurement Systems as a Foundation for Biomimetic Research on Insects." Thesis, University of Canterbury. Electrical and Computer Engineering, 2008. http://hdl.handle.net/10092/2895.

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During the undertaken research and development, two major systems were designed. These were; a prototype force sensor, and a movement measurement system. Both the developed systems were designed for the intended field of insect research, but were developed using very different underlying principles. The force measurement system uses the piezo-electric effect induced in piezo-electric bimorph elements to produce a measure of force exerted on the sensor. The movement measurement system on the other hand uses computer vision (CV) techniques to find and track the three dimensional (3D) position of markers on the insect, and thereby record the pose of the insect. To further increase the usefulness of the two measurement systems, a prototype graphical user interface (GUI) was produced to encapsulate the functionality of the systems and provide an end user with a more complete and functional research tool. The GUI allows a user to easily define the parameters required for the CV operations and presents the results of these operations to the user in an easily understood visual format. The GUI is also intended to display force measurements in a graphical means to make them easily interpreted. The GUI has been named Weta Evaluation Tracking and Analysis (WETA). Testing on the developed prototype force sensor shows that the piezo-electric bimorph elements provide an adequate measure of force exerted on them, when the voltage signal produced by an element is integrated. Furthermore, the testing showed that the developed force sensor layout produces an adequate measure of forces in the two horizontal linear degrees of freedom (DOF), but the prototype did not produce a good measure of forces in the vertical linear DOF. Development and testing of the movement measurement system showed that stereo vision techniques have the ability to produce accurate measurements of 3D position using two cameras. Although, when testing these techniques with one of the cameras replaced by a mirror, the system produced less than satisfactory results. Further testing on the feature detection and tracking portions of the movement system showed that even though these systems were implemented in a relatively simple way, they were still adequate in their associated operations. However, it was found that with some simple changes in colour spaces used during feature detection, the performance of the feature detection system in varying illumination was greatly improved. The tracking system on the other hand, operated adequately using just its associated basic principles. During the development of both prototype measurement systems, a number of conclusions were formulated that indicated areas of future development. These areas include; advanced force sensor configurations, force sensor miniaturisation, design of a force plate, improvement of feature detection and tracking, and refining of the stereo vision equipment.
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Björklund, Niklas. "Movement behaviour and resource tracking in the pine weevil Hylobius abietis /." Uppsala : Dept. of Entomology, Swedish Univ. of Agricultural Sciences, 2004. http://epsilon.slu.se/s302.pdf.

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Wolinski, David. "Microscopic crowd simulation : evaluation and development of algorithms." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S036/document.

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Dû au grand intérêt porté à la simulation de foules, beaucoup d'algorithmes ont été et sont encore proposés. Toutefois, (1) il n'existe pas de méthode standard pour évaluer le réalisme et la flexibilité de ces algorithmes, et (2) même les algorithmes les plus récents produisent encore des artéfacts évidents. Abordant la première question, nous proposons une méthode visant à évaluer le réalisme des algorithmes de simulation de foules d'une manière objective et impartiale. ''Objective'' grâce à des métriques quantifiant la similitude entre les simulations et des données acquises en situation réelle. ''Impartiale'' grâce à l'estimation de paramètres permettant d'étalonner automatiquement les algorithmes en vue de décrire au mieux les données (par rapport aux métriques), permettant de comparer les algorithmes au mieux de leur capacité. Nous explorons aussi comment ce processus permet d'augmenter le niveau de contrôle d'un utilisateur sur la simulation tout en réduisant son implication. Abordant la deuxième question, nous proposons un nouvel algorithme d'évitement de collisions. Alors que les algorithmes existants prédisent les collisions en extrapolant linéairement les trajectoires des agents, nous allons au-delà grâce à une approche probabiliste et non-linéaire, prenant en compte entre autres la configuration de l'environnement, les trajectoires passées et les interactions avec les obstacles. Nous éliminons ainsi des simulations résultantes des artefacts tels que : les ralentissements et les agglomérats dérangeants d'agents, les mouvements oscillatoires non naturels, ou encore les manœuvres d'évitement exagérées/fausses/de dernière minute. Dans une troisième contribution, nous abordons aussi l'utilisation de notre travail sur l'évaluation et l'estimation de paramètres dans le cadre de systèmes plus larges. Dans un premier temps, nous l'appliquons à la simulation d'insectes, prenant en charge leur comportement local. Après avoir complété le système aux niveaux intermédiaire et global, cette approche basée-données est capable de simuler correctement des essaims d'insectes. Dans un second temps, nous appliquons notre travail au suivi de piétons, construisant un ''méta-algorithme'' servant à calculer la probabilité de transition d'un filtre particulaire, et surpassant les systèmes existants
With the considerable attention crowd simulation has received, many algorithms have been and are being proposed. Yet, (1) there exists no standard scheme to evaluate the accuracy and flexibility of these algorithms, and (2) even the most recent algorithms produce noticeable simulation artifacts. Addressing the first issue, we propose a framework aiming to provide an objective and fair evaluation of the realism of crowd simulation algorithms. ''Objective'' here means the use of various metrics quantifying the similarity between simulations and ground-truth data acquired with real pedestrians. ''Fair'' here means the use of parameter estimation to automatically tune the tested algorithms to match the ground-truth data as closely as possible (with respect to the metrics), effectively allowing to compare algorithms at the best of their capability. We also explore how this process can increase a user's control on the simulation while reducing the amount of necessary intervention. Addressing the second issue, we propose a new collision-avoidance algorithm. Where current algorithms predict collisions by linearly extrapolating agents' trajectories, we better predict agents' future motions in a probabilistic, non-linear way, taking into account environment layout, agent's past trajectories and interactions with other obstacles among other cues. Resulting simulations do away with common artifacts such as: slowdowns and visually erroneous agent agglutinations, unnatural oscillation motions, or exaggerated/last-minute/false-positive avoidance manoeuvres. In a third contribution, we also explore how evaluation and parameter estimation can be used as part of wider systems. First, we apply it to insect simulation, taking care of local insect behavior. After completing it at the intermediate and global levels, the resulting data-driven system is able to correctly simulate insect swarms. Second, we apply our work to pedestrian tracking, constructing a ''meta-algorithm'', more accurately computing motion priors for a particle-filter-based tracker, outperforming existing systems
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Manecy, Augustin. "Stratégies de guidage visuel bio-inspirées : application à la stabilisation visuelle d’un micro-drone et à la poursuite de cibles." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT050/document.

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Les insectes sont capables de prouesses remarquables lorsqu’il s’agit d’éviter des obstacles,voler en environnement perturbé ou poursuivre une cible. Cela laisse penser que leurs capacités de traitement, aussi minimalistes soient-elles, sont parfaitement optimisées pour le vol. A cela s’ajoute des mécanismes raffinés, comme la stabilisation de la vision par rapport au corps, permettant d’améliorer encore plus leurs capacités de vol.Ces travaux de thèse présentent l’élaboration d’un micro drone de type quadrirotor, qui ressemble fortement à un insecte sur le plan perceptif (vibration rétinienne) et reprend des points structurels clés, tels que le découplage mécanique entre le corps et le système visuel. La conception du quadrirotor (de type open-source), son pilotage automatique et son système occulo-moteur sont minutieusement détaillés.Des traitements adaptés permettent, malgré un très faible nombre de pixels (24 pixels seulement), de poursuivre finement du regard une cible en mouvement. A partir de là, nous avons élaboré des stratégies basées sur le pilotage par le regard, pour stabiliser le robot en vol stationnaire, à l’aplomb d’une cible et asservir sa position ; et ce, en se passant d’une partie des capteurs habituellement utilisés en aéronautique tels que les magnétomètres et les accéléromètres. Le quadrirotor décolle, se déplace et atterrit de façon autonome en utilisant seulement ses gyromètres, son système visuel original mimant l’oeil d’un insecte et une mesure de son altitude. Toutes les expérimentations ont été validées dans une arène de vol, équipée de caméras VICON.Enfin, nous décrivons une nouvelle toolbox qui permet d’exécuter en temps réel des modèles Matlab/Simulink sur des calculateurs Linux embarqués de façon complètement automatisée (http://www.gipsalab.fr/projet/RT-MaG/). Cette solution permet d’écrire les modèles, de les simuler, d’élaborer des lois de contrôle pour enfin, piloter en temps réel, le robot sous l’environnement Simulink. Cela réduit considérablement le "time-to-flight" et offre une grande flexibilité (possibilité de superviser l’ensemble des données de vol, de modifier en temps réel les paramètres des contrôleurs, etc.)
Insects, like hoverflies are able of outstanding performances to avoid obstacles, reject disturbances and hover or track a target with great accuracy. These means that fast sensory motor reflexes are at work, even if they are minimalist, they are perfectly optimized for the flapping flight at insect scale. Additional refined mechanisms, like gaze stabilization relative to the body, allow to increase their flight capacity.In this PhD thesis, we present the design of a quadrotor, which is highly similar to an insect in terms of perception (visual system) and implements a bio-inspired gaze control system through the mechanical decoupling between the body and the visual system. The design of the quadrotor (open-source), itspilot and its decoupled eye are thoroughly detailed. New visual processing algorithms make it possible to faithfully track a moving target, in spite of a very limited number of pixels (only 24 pixels). Using this efficient gaze stabilization, we developed new strategies to stabilize the robot above a target and finely control its position relative to the target. These new strategies do not need classical aeronautic sensors like accelerometers and magnetometers. As a result, the quadrotor is able to take off, move and land automatically using only its embedded rate-gyros, its insect-like eye, and an altitude measurement. All these experiments were validated in a flying arena equipped with a VICON system. Finally, we describe a new toolbox, called RT-MaG toolbox, which generate automatically a real-time standalone application for Linux systems from a Matlab/Simulink model (http://www.gipsalab.fr/projet/RT-MaG/). These make it possible to simulate, design control laws and monitor the robot’s flight in real-time using only Matlab/Simulink. As a result, the "time-to-flight" is considerably reduced and the final application is highly reconfigurable (real-time monitoring, parameter tuning, etc.)
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Bagheri, Zahra. "An Insect-Inspired Target Tracking Mechanism for Autonomous Vehicles." Thesis, 2017. http://hdl.handle.net/2440/119618.

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Target tracking is a complicated task from an engineering perspective, especially where targets are small and seen against complex natural environments. Due to the high demand for robust target tracking algorithms a great deal of research has focused on this area. However, most engineering solutions developed for this purpose are often unreliable in real world conditions or too computationally expensive to be used in real-time applications. While engineering methods try to solve the problem of target detection and tracking by using high resolution input images, fast processors, with typically computationally expensive methods, a quick glance at nature provides evidence that practical real world solutions for target tracking exist. Many animals track targets for predation, territorial or mating purposes and with millions of years of evolution behind them, it seems reasonable to assume that these solutions are highly efficient. For instance, despite their low resolution compound eyes and tiny brains, many flying insects have evolved superb abilities to track targets in visual clutter even in the presence of other distracting stimuli, such as swarms of prey and conspecifics. The accessibility of the dragonfly for stable electrophysiological recordings makes this insect an ideal and tractable model system for investigating the neuronal correlates for complex tasks such as target pursuit. Studies on dragonflies identified and characterized a set of neurons likely to mediate target detection and pursuit referred to as ‘small target motion detector’ (STMD) neurons. These neurons are selective for tiny targets, are velocity-tuned, contrast-sensitive and respond robustly to targets even against the motion of background. These neurons have shown several high-order properties which can contribute to the dragonfly’s ability to robustly pursue prey with over a 97% success rate. These include the recent electrophysiological observations of response ‘facilitation’ (a slow build-up of response to targets that move on long, continuous trajectories) and ‘selective attention’, a competitive mechanism that selects one target from alternatives. In this thesis, I adopted a bio-inspired approach to develop a solution for the problem of target tracking and pursuit. Directly inspired by recent physiological breakthroughs in understanding the insect brain, I developed a closed-loop target tracking system that uses an active saccadic gaze fixation strategy inspired by insect pursuit. First, I tested this model in virtual world simulations using MATLAB/Simulink. The results of these simulations show robust performance of this insect-inspired model, achieving high prey capture success even within complex background clutter, low contrast and high relative speed of pursued prey. Additionally, these results show that inclusion of facilitation not only substantially improves success for even short-duration pursuits, it also enhances the ability to ‘attend’ to one target in the presence of distracters. This inspect-inspired system has a relatively simple image processing strategy compared to state-of-the-art trackers developed recently for computer vision applications. Traditional machine vision approaches incorporate elaborations to handle challenges and non-idealities in the natural environments such as local flicker and illumination changes, and non-smooth and non-linear target trajectories. Therefore, the question arises as whether this insect inspired tracker can match their performance when given similar challenges? I investigated this question by testing both the efficacy and efficiency of this insect-inspired model in open-loop, using a widely-used set of videos recorded under natural conditions. I directly compared the performance of this model with several state-of-the-art engineering algorithms using the same hardware, software environment and stimuli. This insect-inspired model exhibits robust performance in tracking small moving targets even in very challenging natural scenarios, outperforming the best of the engineered approaches. Furthermore, it operates more efficiently compared to the other approaches, in some cases dramatically so. Computer vision literature traditionally test target tracking algorithms only in open-loop. However, one of the main purposes for developing these algorithms is implementation in real-time robotic applications. Therefore, it is still unclear how these algorithms might perform in closed-loop real-world applications where inclusion of sensors and actuators on a physical robot results in additional latency which can affect the stability of the feedback process. Additionally, studies show that animals interact with the target by changing eye or body movements, which then modulate the visual inputs underlying the detection and selection task (via closed-loop feedback). This active vision system may be a key to exploiting visual information by the simple insect brain for complex tasks such as target tracking. Therefore, I implemented this insect-inspired model along with insect active vision in a robotic platform. I tested this robotic implementation both in indoor and outdoor environments against different challenges which exist in real-world conditions such as vibration, illumination variation, and distracting stimuli. The experimental results show that the robotic implementation is capable of handling these challenges and robustly pursuing a target even in highly challenging scenarios.
Thesis (Ph.D.) -- University of Adelaide, School of Mechanical Engineering, 2017
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Books on the topic "Insect tracking"

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A, Drake V., and Gatehouse A. G, eds. Insect migration: Tracking resources through space and time. Cambridge: Cambridge University Press, 1995.

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(Editor), V. Alistair Drake, and A. Gavin Gatehouse (Editor), eds. Insect Migration: Tracking Resources through Space and Time. Cambridge University Press, 1995.

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(Editor), V. Alistair Drake, and A. Gavin Gatehouse (Editor), eds. Insect Migration: Tracking Resources through Space and Time. Cambridge University Press, 2005.

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Drake, V. Alistair, and A. Gavin Gatehouse. Insect Migration: Tracking Resources Through Space and Time. Cambridge University Press, 2009.

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Drake, V. Alistair, and A. Gavin Gatehouse. Insect Migration: Tracking Resources Through Space and Time. Cambridge University Press, 2011.

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Publishing, Prettyfati. Pesticide Applicator Log Book: Pesticide Application Log Book - Pesticide Record Keeping Forms - Chemical Applicator Tracker - Chemical Pest and Insect Control Application Log Book - Keep Tracking Certified Applicator Name, Crop, Pesticide, Etc. Independently Published, 2022.

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Publishing, Prettyfati. Pesticide Applicator Log Book: Pesticide Application Log Book - Pesticide Record Keeping Forms - Chemical Applicator Tracker - Chemical Pest and Insect Control Application Log Book - Keep Tracking Certified Applicator Name, Crop, Pesticide, Etc. Independently Published, 2022.

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Publishing, Prettyfati. Pesticide Applicator Log Book: Pesticide Application Log Book - Pesticide Record Keeping Forms - Chemical Applicator Tracker - Chemical Pest and Insect Control Application Log Book - Keep Tracking Certified Applicator Name, Crop, Pesticide, Etc. Independently Published, 2022.

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Press, Annique Joy. Dragonfly Three Year Dot Grid Planner January 2022 - December 2024: Flying Insect Dragonflies 36 Monthly Calendar and Note Taking or Habit Tracking Pages Square Photo Date Book 8. 5 X 8. 5 Inch. Independently Published, 2022.

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Book chapters on the topic "Insect tracking"

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Horibe, Junji, Noriyasu Ando, and Ryohei Kanzaki. "Insect Behavior as High-Sensitive Olfactory Sensor for Robotic Odor Tracking." In Biomimetic and Biohybrid Systems, 183–92. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24741-6_16.

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Bekkouche, Bo, Patrick A. Shoemaker, Joseph Fabian, Elisa Rigosi, Steven D. Wiederman, and David C. O’Carroll. "Multicompartment Simulations of NMDA Receptor Based Facilitation in an Insect Target Tracking Neuron." In Artificial Neural Networks and Machine Learning – ICANN 2017, 397–404. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68600-4_46.

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Neumann, Patrick P., Victor Hernandez Bennetts, Achim J. Lilienthal, and Matthias Bartholmai. "From Insects to Micro Air Vehicles—A Comparison of Reactive Plume Tracking Strategies." In Intelligent Autonomous Systems 13, 1533–48. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08338-4_110.

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Samet, Nermin, Jochen Zeil, Elmar Mair, Norbert Boeddeker, and Wolfgang Stürzl. "Ground-Nesting Insects Could Use Visual Tracking for Monitoring Nest Position during Learning Flights." In From Animals to Animats 13, 108–20. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08864-8_11.

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Noskov, Alexey. "Radar as a Key to Global Aeroecology." In Practice, Progress, and Proficiency in Sustainability, 482–505. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8482-8.ch028.

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Open, systematic, and global approaches are needed to address the challenges of aeroconservation and pest management. Recent technical progress enables deeper investigation and understanding of aeroecology. Radar plays a central role in flying species monitoring in the global scope. The technology provides various ways of target detection and tracking, working for multiple ranges and different visibility. The existing technology allows deploying global monitoring of avian and insect species. This work discusses the essentials of the technology and the history of its application for bird and insect detection. The author describes the development of the topic according to the main groups of radar approaches: pulsed sets, vertical-looking solutions, harmonic systems, and efficient frequency modulated continuous wave radar. Advances in big data processing, robotics, computation, and communications enable practitioners to combine the discussed radar solutions aiming at global avian and insect biodiversity monitoring and negative human impact systematic estimation.
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Novak, Daniel Alexander, Ronan Hallowell, and Donna Elliott. "Expect What You Inspect." In Advances in Medical Education, Research, and Ethics, 427–48. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1468-9.ch022.

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The Liaison Committee on Medical Education (LCME) requires that medical schools track compliance and continuous quality improvement (CQI) efforts across a broad range of LCME standards. However, LCME does not state what form these tracking efforts should take, or how medical schools should represent this information to the Committee or internally. This chapter provides an overview of the Keck School of Medicine of the University of Southern California's (KSOM) new approach to CQI tracking using an online dashboard. The project resulted in an online platform that represents the CQI project progress across a range of elements, maintains visual consistency across a range of data sources and file types, and is easily accessible by relevant stakeholders. This innovation from KSOM illustrates how a web-based platform supports CQI efforts, and how this design can be translated to other contexts. The design presented in this chapter provides guidelines for the development and innovation of CQI tracking initiatives at other schools.
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E. Álvarez-Cisneros, Izyalith, Blanca E. Carvajal-Gámez, David Araujo-Díaz, Miguel A. Castillo-Martínez, and L. Méndez-Segundo. "Smart-Road: Road Damage Estimation Using a Mobile Device." In Visual Object Tracking [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.100289.

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Mexico is located on five tectonic plates, which when moving, generate telluric movements. These movements, depending on their intensity, affect the telecommunications infrastructure. Earthquakes tend to cause landslides, subsidence, damage to structures in houses, buildings, and roads. In the case of road damage, it is reflected in cracks in the pavement, which are classified according to their size, shape, and depth. The methods that are currently implemented to inspect roads mainly use human perception and are limited to a superficial inspection of the terrain, causing this process ineffective for the timely detection of damage. This work presents a method of road analysis using a drone to acquire images. For the processing and recognition of damages, a mobile device is used, allowing to determine the damage type on the road. Artificial intelligence techniques are implemented to classify them into linear cracks or zig-zag cracks.
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Crist-Wagner, Keri. "Horrible Victorians: Interrogating Power, Sex, and Gender in InSEXts." In Monstrous Women in Comics, 99–112. University Press of Mississippi, 2020. http://dx.doi.org/10.14325/mississippi/9781496827623.003.0007.

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This chapter gives Marguerite Bennett’s InSEXts comic a run through the author’s own systematic “Diamond of Violence” and “Queerness Score” tools to study how violence against queer bodies works. By tracking precisely how these monstrously insectoid women who claim their sexual power are punished or rewarded, she shows the way embodied queer identity and pleasure transgresses patriarchal violence even in an era with repressive ideals of sexuality and explicitly restrictive gender roles. Violence, queerness, and power are all linked in the monstrous bodies of InSEXts protagonists.
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Khatibi, Toktam, Mohammad Mehdi Sepehri, Pejman Shadpour, and Seyed Hessameddin Zegordi. "Applications of Image Processing in Laparoscopic Surgeries." In Computer Vision, 1518–44. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5204-8.ch063.

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Laparoscopy is a minimally-invasive surgery using a few small incisions on the patient's body to insert the tools and telescope and conduct the surgical operation. Laparoscopic video processing can be used to extract valuable knowledge and help the surgeons. We discuss the present and possible future role of processing laparoscopic videos. The various applications are categorized for image processing algorithms in laparoscopic surgeries including preprocessing video frames by laparoscopic image enhancement, telescope related applications (telescope position estimation, telescope motion estimation and compensation), surgical instrument related applications (surgical instrument detection and tracking), soft tissue related applications (soft tissue segmentation and deformation tracking) and high level applications such as safe actions in laparoscopic videos, summarization of laparoscopic videos, surgical task recognition and extracting knowledge using fusion techniques. Some different methods have been proposed previously for each of the mentioned applications using image processing.
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Burge, Tyler. "Perceptual Learning, Perceptual Anticipation, Perceptual Imagining." In Perception: First Form of Mind, 625–46. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780198871002.003.0018.

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Chapter 18 explains the notions of perceptual learning, perceptual anticipation, and perceptual imagining. Various types of perceptual learning are distinguished. The power and primitivity of the mechanisms are highlighted. Generic non-representational anticipation differs from perceptual-level anticipatory representation. Relations to priming and memory are outlined. Perceptual-level anticipatory representation is sharply distinguished from prediction, fore-knowledge, and other higher-level capacities. The discussion outlines the form and roles of perceptual-level anticipatory representation in perception and action; it stresses the primitiveness of such anticipatory representation. Empirical evidence suggests that perceptual-level anticipatory representation occurs in all actual perceivers, from humans to lions to insects, in motion tracking and in saccades. Conditions for successful reference to future entities are outlined. Doubts are entered about predictive coding accounts. A perceptual-level type of imagining is delineated. Such a level is present even in the famous rotation-of-mental-image capacities.
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Conference papers on the topic "Insect tracking"

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Fasciano, Thomas, Anna Dornhausy, and Min C. Shin. "Multiple Insect Tracking with Occlusion Sub-tunnels." In 2015 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2015. http://dx.doi.org/10.1109/wacv.2015.90.

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Akhtar, Mishma, Adnan Maqsood, and Rizwan Riaz. "Two Dimensional Insect Flight Trajectory Tracking and Analysis." In 2019 Sixth International Conference on Aerospace Science and Engineering (ICASE). IEEE, 2019. http://dx.doi.org/10.1109/icase48783.2019.9059114.

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Shen, Minmin, Wei Huang, Paul Szyszka, C. Giovanni Galizia, and Dorit Merhof. "Interactive Framework for Insect Tracking with Active Learning." In 2014 22nd International Conference on Pattern Recognition (ICPR). IEEE, 2014. http://dx.doi.org/10.1109/icpr.2014.471.

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Xu, Ziqiang, Yuman Nie, Pingguo Cao, and Quanjun Song. "High-speed CAMShift Tracking of Insect on GPU." In 2018 IEEE International Conference on Information and Automation (ICIA). IEEE, 2018. http://dx.doi.org/10.1109/icinfa.2018.8812482.

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Guo, Wei, Qingjie Zhao, Bo Wang, and Guanqun Yu. "Insect vision inspired particle filter for visual tracking." In 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2013. http://dx.doi.org/10.1109/robio.2013.6739875.

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Gladman, Darrin, Jehu Osegbe, Wookjin Choi, and Joon Suk Lee. "Automatic motion tracking system for analysis of insect behavior." In Applications of Digital Image Processing XLIII, edited by Andrew G. Tescher and Touradj Ebrahimi. SPIE, 2020. http://dx.doi.org/10.1117/12.2568804.

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Rusnok, Pavel, Petr Hurtik, Oto Kalab, David Musiolek, Petr Kocarek, and Martin Tomis. "Data Analysis of Multivariate Time Series of Insect Tracking." In 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS). IEEE, 2018. http://dx.doi.org/10.1109/scis-isis.2018.00128.

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Bao, Yufang, and Hamid Krim. "Video Tracking of Insect Flight Path: Towards Behavioral Assessment." In 2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2018. http://dx.doi.org/10.1109/ipta.2018.8608167.

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Milanesio, Daniele, Stefano Bottigliero, Maurice Saccani, Riccardo Maggiora, Alessandro Viscardi, and Marco Matteo Gallesi. "An harmonic radar prototype for insect tracking in harsh environments." In 2020 IEEE International Radar Conference (RADAR). IEEE, 2020. http://dx.doi.org/10.1109/radar42522.2020.9114540.

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Balch, Tucker, Zia Khan, and Manuela Veloso. "Automatically tracking and analyzing the behavior of live insect colonies." In the fifth international conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/375735.376434.

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Reports on the topic "Insect tracking"

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Phillips, Jake. Understanding the impact of inspection on probation. Sheffield Hallam University, 2021. http://dx.doi.org/10.7190/shu.hkcij.05.2021.

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This research sought to understand the impact of probation inspection on probation policy, practice and practitioners. This important but neglected area of study has significant ramifications because the Her Majesty’s Inspectorate of Probation has considerable power to influence policy through its inspection regime and research activities. The study utilised a mixed methodological approach comprising observations of inspections and interviews with people who work in probation, the Inspectorate and external stakeholders. In total, 77 people were interviewed or took part in focus groups. Probation practitioners, managers and leaders were interviewed in the weeks after an inspection to find out how they experienced the process of inspection. Staff at HMI Probation were interviewed to understand what inspection is for and how it works. External stakeholders representing people from the voluntary sector, politics and other non-departmental bodies were interviewed to find out how they used the work of inspection in their own roles. Finally, leaders within the National Probation Service and Her Majesty’s Prisons and Probation Service were interviewed to see how inspection impacts on policy more broadly. The data were analysed thematically with five key themes being identified. Overall, participants were positive about the way inspection is carried out in the field of probation. The main findings are: 1. Inspection places a burden on practitioners and organisations. Practitioners talked about the anxiety that a looming inspection created and how management teams created additional pressures which were hard to cope with on top of already high workloads. Staff responsible for managing the inspection and with leadership positions talked about the amount of time the process of inspection took up. Importantly, inspection was seen to take people away from their day jobs and meant other priorities were side-lined, even if temporarily. However, the case interviews that practitioners take part in were seen as incredibly valuable exercises which gave staff the opportunity to reflect on their practice and receive positive feedback and validation for their work. 2. Providers said that the findings and conclusions from inspections were often accurate and, to some extent, unsurprising. However, they sometimes find it difficult to implement recommendations due to reports failing to take context into account. Negative reports have a serious impact on staff morale, especially for CRCs and there was concern about the impact of negative findings on a provider’s reputation. 3. External stakeholders value the work of the Inspectorate. The Inspectorate is seen to generate highly valid and meaningful data which stakeholders can use in their own roles. This can include pushing for policy reform or holding government to account from different perspectives. In particular, thematic inspections were seen to be useful here. 4. The regulatory landscape in probation is complex with an array of actors working to hold providers to account. When compared to other forms of regulation such as audit or contract management the Inspectorate was perceived positively due to its methodological approach as well as the way it reflects the values of probation itself. 5. Overall, the inspectorate appears to garner considerable legitimacy from those it inspects. This should, in theory, support the way it can impact on policy and practice. There are some areas for development here though such as more engagement with service users. While recognising that the Inspectorate has made a concerted effort to do this in the last two years participants all felt that more needs to be done to increase that trust between the inspectorate and service users. Overall, the Inspectorate was seen to be independent and 3 impartial although this belief was less prevalent amongst people in CRCs who argued that the Inspectorate has been biased towards supporting its own arguments around reversing the now failed policy of Transforming Rehabilitation. There was some debate amongst participants about how the Inspectorate could, or should, enforce compliance with its recommendations although most people were happy with the primarily relational way of encouraging compliance with sanctions for non-compliance being considered relatively unnecessary. To conclude, the work of the Inspectorate has a significant impact on probation policy, practice and practitioners. The majority of participants were positive about the process of inspection and the Inspectorate more broadly, notwithstanding some of the issues raised in the findings. There are some developments which the Inspectorate could consider to reduce the burden inspection places on providers and practitioners and enhance its impact such as amending the frequency of inspection, improving the feedback given to practitioners and providing more localised feedback, and working to reduce or limit perceptions of bias amongst people in CRCs. The Inspectorate could also do more to capture the impact it has on providers and practitioners – both positive and negative - through existing procedures that are in place such as post-case interview surveys and tracking the implementation of recommendations.
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