Bibliographies thématiques / Single object

Littérature scientifique sur le sujet « Single object »

Auteur : Grafiati

Publié le 10 mars 2023

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Articles de revues sur le sujet "Single object"

Dong, Yu Bing, Ying Sun et Ming Jing Li. « Multi-Object Tracking with Single Camera ». Applied Mechanics and Materials 740 (mars 2015) : 668–71. http://dx.doi.org/10.4028/www.scientific.net/amm.740.668.

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Multi-object tracking has been a challenging topic in computer vision. A Simple and efficient moving multi-object tracking algorithm is proposed. A new tracking method combined with trajectory prediction and a sub-block matching is used to handle the objects occlusion. The experimental results show that the proposed algorithm has good performance.

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Moscatelli, Alberto. « A single object rotating ». Nature Nanotechnology 13, n^o 9 (septembre 2018) : 769. http://dx.doi.org/10.1038/s41565-018-0265-1.

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Ren, Xiaoyuan, Libing Jiang et Zhuang Wang. « Pose Estimation of Uncooperative Unknown Space Objects from a Single Image ». International Journal of Aerospace Engineering 2020 (18 juillet 2020) : 1–9. http://dx.doi.org/10.1155/2020/9966311.

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Estimating the 3D pose of the space object from a single image is an important but challenging work. Most of the existing methods estimate the 3D pose of known space objects and assume that the detailed geometry of a specific object is known. These methods are not available for unknown objects without the known geometry of the object. In contrast to previous works, this paper devotes to estimate the 3D pose of the unknown space object from a single image. Our method estimates not only the pose but also the shape of the unknown object from a single image. In this paper, a hierarchical shape model is proposed to represent the prior structure information of typical space objects. On this basis, the parameters of the pose and shape are estimated simultaneously for unknown space objects. Experimental results demonstrate the effectiveness of our method to estimate the 3D pose and infer the geometry of unknown typical space objects from a single image. Moreover, experimental results show the advantage of our approach over the methods relying on the known geometry of the object.

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Osiurak, François, Ghislaine Aubin, Philippe Allain, Christophe Jarry, Isabelle Richard et Didier Le Gall. « Object utilization and object usage : A single-case study ». Neurocase 14, n^o 2 (27 juin 2008) : 169–83. http://dx.doi.org/10.1080/13554790802108372.

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Dubanov, Aleksandr. « GEOMETRIC MODEL OF GROUP PURSUIT OF A SINGLE TARGET BY THE CHASE METHOD ». Geometry & ; Graphics 10, n^o 2 (10 octobre 2022) : 20–26. http://dx.doi.org/10.12737/2308-4898-2022-10-2-20-26.

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The article describes the model of group pursuit of a single target by the chase method. All objects participating in the pursuit model move with a constant modulo speed. One of the participants in the process moves along a certain trajectory and releases objects at specified intervals, the task of which is to achieve the goal by the chase method. All objects have restrictions on the curvature of the motion path. A single target, in turn, is tasked with achieving the target that releases objects using the parallel approach method. For each pursuing object, a detection area is formed in the form of two beams. The object's velocity vector is directed along the bisector of the angle formed by such rays. If the target enters the detection area, then the object starts pursuit and the velocity vector is directed to the target. If the target leaves the detection area, then the object makes a uniform and rectilinear movement. The task is to implement a dynamic model of multiple group pursuit, where each object has its own tasks, implemented by the chase method. As an example, where the model developed in the article could be in demand, the following example can be given. Consider the movement of a low-maneuverable object that is overtaking a faster target. As a means of protection, instead of releasing passive heat traps, it is proposed to drop a variety of autonomously controlled weapons. An analysis of existing studies has shown that such means of protecting aircraft do not exist. The results of the research can be in demand in the design of unmanned aerial vehicles with elements of autonomous control and artificial intelligence.

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Abraham, Glincy, K. A. Narayanankutty et K. P. Soman. « Sparsity based Single Object Tracking ». INTERNATIONAL JOURNAL OF COMPUTERS & ; TECHNOLOGY 9, n^o 2 (15 juillet 2013) : 1004–11. http://dx.doi.org/10.24297/ijct.v9i2.4167.

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Object tracking has importance in various video processing applications like video surveillance, perceptual user interface driver assistance, tracking etc. This paper deals with a new tracking technique that combines the dictionary based background subtraction along with sparsity based tracking. The speed and performance challenges faced during the sparsity based tracking alone are addressed, as it is based on a background subtraction preprocessing and local compressive tracking. It also overcomes the challenges faced by the traditional techniques due to illumination variation, pose and shape change of the object. Output of the proposed technique is compared with that of compressive tracking technique.

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Alonso, Estrella, et Juan Tejada. « Risk optimal single-object auctions ». Cuadernos de Economía 35, n^o 99 (septembre 2012) : 131–38. http://dx.doi.org/10.1016/s0210-0266(12)70030-4.

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Mishra, Debasis, et Abdul Quadir. « Non-bossy single object auctions ». Economic Theory Bulletin 2, n^o 1 (5 mars 2014) : 93–110. http://dx.doi.org/10.1007/s40505-014-0031-y.

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Champion, Benjamin, Mo Jamshidi et Matthew Joordens. « Depth Estimation of an Underwater Object Using a Single Camera ». KnE Engineering 2, n^o 2 (9 février 2017) : 112. http://dx.doi.org/10.18502/keg.v2i2.603.

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<p>Underwater robotics is currently a growing field. To be able to autonomously find and collect objects on the land and in the air is a complicated problem, which is only compounded within the underwater setting. Different techniques have been developed over the years to attempt to solve this problem, many of which involve the use of expensive sensors. This paper explores a method to find the depth of an object within the underwater setting, using a single camera source and a known object. Once this known object has been found, information about other unknown objects surrounding this point can be determined, and therefore the objects can be collected.</p>

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Yow, Kin-Choong, et Insu Kim. « General Moving Object Localization from a Single Flying Camera ». Applied Sciences 10, n^o 19 (4 octobre 2020) : 6945. http://dx.doi.org/10.3390/app10196945.

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Object localization is an important task in the visual surveillance of scenes, and it has important applications in locating personnel and/or equipment in large open spaces such as a farm or a mine. Traditionally, object localization can be performed using the technique of stereo vision: using two fixed cameras for a moving object, or using a single moving camera for a stationary object. This research addresses the problem of determining the location of a moving object using only a single moving camera, and it does not make use of any prior information on the type of object nor the size of the object. Our technique makes use of a single camera mounted on a quadrotor drone, which flies in a specific pattern relative to the object in order to remove the depth ambiguity associated with their relative motion. In our previous work, we showed that with three images, we can recover the location of an object moving parallel to the direction of motion of the camera. In this research, we find that with four images, we can recover the location of an object moving linearly in an arbitrary direction. We evaluated our algorithm on over 70 image sequences of objects moving in various directions, and the results showed a much smaller depth error rate (less than 8.0% typically) than other state-of-the-art algorithms.

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Thèses sur le sujet "Single object"

Noé, Estelle. « 3D layered articulated object from a single 2D drawing ». Thesis, KTH, Medieteknik och interaktionsdesign, MID, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216943.

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Modeling articulated objects made of rigid layered parts used to populate 3D scenes in video games or movie production is a complex and time-consuming task for digital artists. This work proposes a sketch-based approach to efficiently model 3D layered articulated objects, such as animals with rigid shells and armors, in annotating a single 2D photo manually, and eventually fabricate it from automatically computed 2D patterns. In considering symmetrical objects seen under a 3/4 view, and an- notating salient features such as extremities of the rigid articulated parts as a mix of circular and Bézier curve, this approach is able to retrieve depth information, hidden parts, and rotation-articulated structure. The resulting shape consists of a set of quadrangulated polygons that may be flattened in 2D. Details such as ears, tails, and legs were further models using dedicated annotations. The accuracy of the reconstruction has been validated on synthetic cylindrical examples, and its ro- bustness in reconstructing a 3D model of armor, armadillo, and shrimp. The latter was finally fabricated using paper.
Att modellera artikulerade objekt gjorda av styva delar lagda i lager som används till att fylla 3D-scener i datorspel och filmskapande är en komplex och tidsödande uppgift för digitala konstnärer. Den här undersökningen föreslår ett skiss-baserat tillvägagångssätt att effektivt modellera artikulerade 3D-objekt lagda i lager, såsom djur med styva skal och rustning, i att annotera ett 2D-foto manuellt, och eventuellt skapa det från automatiskt beräknade 2D-mönster. Hänsyn är tagen till symmetriska objekt sedda under en 3/4 vy, och annotera framträdande egenskapersåsom extremiteter av de styva artikulerade delarna som en blandning avcirkulära och Bézier-kurvor, kan det här tillvägagångssättet hämta information om djup, gömda delar och rotations-artikulerade strukturer. Den slutliga formen består av ett set av fyrsidiga polygoner som kan bli tillplattade i 2D. Detaljer såsom öron, svansar och ben där framtida modeller använder dedikerade annotationer. Noggrannheten av rekonstruktionen har blivit validerad på syntetiska cylindriska exempeloch dess robusthet i att rekonstruera en 3D-modell av en rustning, ett bältdjur och en räka. Den senare skapades slutligen med hjälp av papper.

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Medeghini, Fabio. « Optics and acoustics with a single nano-object : environment effects ». Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE1026/document.

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Dans cette thèse, les propriétés d'une nanoparticule unique ont été réglée en modifiant son environnement.Plus spécifiquement, dans la première partie de ce travail, la résonance des plasmons de surface des nanobipyramides d'or individuelles a été étudié expérimentalement dans un milieu sous pression contrôlable et son évolution encadré par modélisations théoriques.Afin d'accéder à l'optique d'une nanoparticule unique tout en générant un environnement sous haute-pression, la combinaison de la spectroscopie par modulation spatial avec la cellule en enclume de diamant a été atteint.Dans la seconde partie de la thèse, les vibrations acoustiques des nanodisques d'or individuels sur a substrat en saphir ont été caractérisé expérimentalement via spectroscopie pump&probe. Une attention particulière a été accordée à leur amortissement en fonction du rapport d'aspect des disques en soulignant la présence des amplifications en factor de qualité.Modélisations numériques ont fourni un aperçu des amplifications observées, montrant que l'hybridations entre modes se produit pour rapport d'aspect spécifiques, potentiellement en atténuant les pertes en énergie acoustique à travers l'interface disque/substrat
In this thesis, the properties of a single nanoparticle have been tuned altering its environment. Specifically, in the first part of this work, the surface plasmon resonance of individual gold nanobipyramids has been experimentally studied under a pressure adjustable surrounding and its evolution physically framed thorough theoretical modeling.In order to access to the single nanoparticle optics while generating a hydrostatic high-pressure environment, a challenging combination of the spatial modulation spectroscopy technique with the diamond anvil cell method has been achieved.In the second part of the thesis, the acoustic vibrations of individual gold nanodisks on sapphire substrate has been experimentally characterized via pump&probe spectroscopy. Particular attention has been paid to their damping as a function of the disks aspect-ratio enlightening the presence of quality-factors enhancements.Numeric modeling has provided a physical insight for the observed amplifications, showing that modes hybridizations occur at specific aspect-ratios, potentially reducing the acoustic energy loss towards the interface disk/substrate

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Taha, Hussein Saad. « Extraction of 3D Object Representations from a Single Range Image ». Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/37219.

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The main goal of this research is the automatic construction of a computer model of 3D solid objects from a single range image. This research has many real world applications, including robotic environments and the inspection of industry parts. The most common methods for 3D-object extraction are based on stereo reconstruction and structured light analysis. The first approach encounters the difficulty of finding a correspondence of points between two images for the same scene, which involves intensive computations. The latter, on the other hand, has limitations and difficulties in object extraction, namely, inferring information about 3D objects from a 2D image. In addition, research in 3D-object extraction up to this point has lacked a thorough treatment of overlapped (occluded) objects. This research has resulted in a system that can extract multiple polyhedral objects from a single range image. The system consists of several parts: edge detection, segmentation, initial vertex extraction, occlusion detection, grouping faces into objects, and object representation. The problem is difficult especially when occluded objects are present. The system that has been developed separates occluded objects by combining evidence of several types. In the edge detection algorithm, noise reduction for range images is treated first by implementing a statistically robust technique based on the least median of squares. Three approaches to edge detection are presented. One that detects change in gradient orientation is a novel approach, which is implemented in the algorithm due to its superior performance, and the other two are extensions of work by other researchers. In general, the performance of these edge detection methods is considerably better than many others in the domain of range image segmentation. A hybrid approach (region-edge based) is introduced to achieve a robust solution for a single range image segmentation. The segmentation process depends on collaborating edge and region techniques where they give complementary information about the scene. Region boundaries are improved using iterative refinement. A novel approach for initial vertex extraction is presented to find the vertices of the polyhedral objects. The 3D vertex locations for the objects are obtained through an analysis of two-dimensional (2D) region shape and corner proximity, and the vertices of the polyhedra are extracted from the individual faces. There are two major approaches for dealing with occlusion. The first is an automatic identification of layers of 3D solid objects within a single range image. In this novel approach, a histogram of the distance values from a given range image is clustered into separate modes. Ideally, each mode of the histogram will be associated with one or more surfaces having approximately the same distance from the sensor. This approach works well when the objects are lying at different distances from the sensor, but when two or more objects are overlapped and lying at the same distance from the sensor, this approach has difficulty in detecting occlusion. The second approach for occlusion detection is considered the major contribution of this work. It detects occlusion of 3D solid objects from a single range image using multiple sources of evidence. This technique is based on detecting occlusion that may be present between each pair of adjacent faces associated with the estimated vertices of the 3D objects. This approach is not based on vertex and line labeling as other approaches are; it utilizes the topology and geometrical information of the 3D objects. After occlusion detection, faces are grouped into objects according to their adjacency relations and the absence or presence of occlusion between them. The initial vertex estimates are improved significantly through a global optimization procedure. Finally, models of the 3D objects are represented using the boundary representation technique that makes use of the region adjacency graph (RAG) paradigm. The experimental results of this research were obtained using real range images obtained from the CESAR lab at Oak Ridge National Laboratory. These images were obtained using a Perceptron laser range finder. These images contain single and multiple polyhedral objects, and they have a size of 512x512 pixels and a quantization of 12 bits per pixel. A quantitative evaluation of the construction algorithms is given. Part of this evaluation depends on the comparison between the results of the proposed segmentation technique and the ground truth database for these range images. The other part is to compare the results of the implemented algorithms with the results of other researchers, and it is found that the system developed here exhibits better performance in terms of the accuracy of the boundaries for the regions of the segmented images. A subjective comparison of the new edge detection methods with some traditional approaches is also provided for the set of range images. An evaluation of the new approach to occlusion detection is also presented. A recommendation for future work is to extend this system to involve images contain objects with curved surfaces. With some modifications to the multiple evidence-based approach of occlusion detection, the curved objects could be addressed. In addition, the model could be updated to include representation of the hidden surfaces for the 3D objects. This could be achieved by using multiple views for the same scene, or through assumptions such as symmetry to infer the shape of the hidden portion of the objects.
Ph. D.

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Iván, Kitti. « Mateřská škola v Moravanech u Brna ». Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2015. http://www.nusl.cz/ntk/nusl-227815.

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Subject of my master´s thesis is to make project documentation for a new building of kindergarten. The building is single – storey, without basement and its capacity is 60 children divided into 3 classes. As foundation system of the building are used foundation strips. Floor plan of the building is irregular. The building is designed from construction system KM BETA. Building is covered by a flat roof.

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Müllner, Jiří. « Novostavba mateřské školy ». Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2017. http://www.nusl.cz/ntk/nusl-265590.

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The subject of master´s thesis is to make project documentation for a new building of kindergarten in Kuřim. The building is single – storey, without basement and its capacity is 66 children divided into 3 classes. As foundation system of the building are used foundation strips. Floor plan of the building is irregular. The building is designed from construction system Porotherm. Building is covered by a green roof.

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Selim, Hossam Abdelatif Mohamed. « A novel secure autonomous generalized document model using object oriented technique ». Thesis, University of Kent, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269141.

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CARDONA, YULIETH ALZATE. « OBJECT-BASED MODELING OF TURBIDITE LOBES USING SINGLE-VALUED B-SPLINES ». PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=29377@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
PROGRAMA DE EXCELENCIA ACADEMICA
As correntes de turbidez são fluxos gravitacionais que têm uma densidade mais elevada do que o seu entorno, sendo caracterizadas por terem uma aparência turbulenta e por moverem-se com uma alta velocidade, realizando um processo de transferência de sedimentos. O problema abordado nesta tese é a modelagem de depósitos turbidíticos baseada em um modelo deposicional com três lobos turbidíticos. A principal contribuição foi desenvolver um modelo baseado em objectos usando B-Splines univalorados para simular reservatórios de turbiditos em um grade cartesiana regular.
Turbidity currents are gravitational flows that have higher density than its surroundings, and they are characterized by having a turbulent appearance and by moving at high speed carrying out a transfer process sediment. The problem addressed in this thesis is the modelling of turbidities deposits. It will be taken based on a depositional model that contains three turbidities lobes. Our contribution is to develop a object-based model using Single-valued B-Spline to simulate turbidities reservoirs in a regular Cartesian grid.

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Singh, Mahendra, Stuart McNamee, Rick Navarro, Amy Fleishans, Louie Garcia et Allen Khosrowabadi. « IMPROVING PERFORMANCE OF SINGLE OBJECT TRACKING RADAR WITH INTEGRATED GPS/INS ». International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/608266.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California
A novel approach combines GPS receiver technology with micro-electromechanical inertial sensors to improve performance of single object tracking radar. The approach enhances range safety by integrating an airborne Global Positioning System/Inertial Movement Unit (GPS/IMU) with a C-band transponder to downlink time-space-position information (TSPI) via FPS-16 instrumentation radar. This improves current telemetry links and the Range Application Joint Program Office (RAJPO) data link for downlinking TSPI because of the inherent long-range advantage of the radar. The goal of the project is to provide distance independent accuracy, and to demonstrate continuous 15-meter or better position accuracy over the entire flight envelope out to slant ranges up to 1,000 Km with at least 50 updates per second. This improves safety coverage for the wide area flight testing. It provides risk reduction for the Air Force Flight Test Center (AFFTC), Edwards Air Force Base, California and other ranges planning TSPI system upgrades.

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Lee, Heewon. « Estimating True Object Color from a Single Image and Multiple Images ». The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1357230807.

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Zhang, Shujun. « Model-based 3D object perception from single monochromatic images of unknown environments ». Thesis, University of Reading, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315501.

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Livres sur le sujet "Single object"

Frym, Gloria. Distance no object : Stories. San Francisco, Calif : City Lights Books, 1999.

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Lowe, David G. Three-dimensional object recognition from single two-dimensional images. New York : Courant Institute of Mathematical Sciences, New York University, 1986.

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On flying objects. [United Kingdom] : Comma Press, 2011.

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Menezes, Flavio M. Auctions of identical objects with single-unit demands : A survey. [Rio de Janeiro?] : CERES, 1999.

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Smolinski, Jill. Objects of my affection. Waterville, Maine : Wheeler Publishing, 2012.

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Smolinski, Jill. Objects of my affection. Waterville, Maine : Wheeler Publishing, 2012.

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The safety of objects. London : Granta, 2013.

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Objects of my affection : A novel. New York : Simon & Schuster, 2012.

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Winterson, Jeanette. Art objects : Essays on ecstasy and effrontery. London : Vintage, 1996.

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Winterson, Jeanette. Art objects : Essays on ecstasy and effrontery. New York : Alfred A. Knopf, 1996.

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Chapitres de livres sur le sujet "Single object"

Garrido, Joés M. « Models of Single-Server Systems ». Dans Object Oriented Simulation, 249–80. Boston, MA : Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0516-1_21.

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Derrick, John, et Eerke Boiten. « A Single Simulation Rule ». Dans Refinement in Z and Object-Z, 189–203. London : Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0257-1_8.

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Derrick, John, et Eerke A. Boiten. « A Single Simulation Rule ». Dans Refinement in Z and Object-Z, 201–16. London : Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5355-9_8.

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Foote, Brian, Ralph E. Johnson et James Noble. « Efficient Multimethods in a Single Dispatch Language ». Dans ECOOP 2005 - Object-Oriented Programming, 337–61. Berlin, Heidelberg : Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11531142_15.

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Bertino, Elisa, et Sushil Jajodia. « Modeling multilevel entities using single level objects ». Dans Deductive and Object-Oriented Databases, 415–28. Berlin, Heidelberg : Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57530-8_27.

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Javed, Omar, et Mubarak Shah. « Object Tracking in a Single Camera ». Dans Automated Multi-Camera Surveillance : Algorithms and Practice, 1–13. Boston, MA : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78881-4_4.

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Kainmueller, Dagmar. « Single-object Segmentation of Anatomical Structures ». Dans Deformable Meshes for Medical Image Segmentation, 89–115. Wiesbaden : Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-07015-1_7.

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Hoiem, Derek, et Silvio Savarese. « Single-view Geometry ». Dans Representations and Techniques for 3D Object Recognition and Scene Interpretation, 9–15. Cham : Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-01557-1_2.

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Yang, Ji, Xinxin Zuo, Sen Wang, Zhenbo Yu, Xingyu Li, Bingbing Ni, Minglun Gong et Li Cheng. « Object Wake-Up : 3D Object Rigging from a Single Image ». Dans Lecture Notes in Computer Science, 311–27. Cham : Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20086-1_18.

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Jim, K., J. Lai et B. Wüthrich. « A data mining algorithm optimal for single rules ». Dans Deductive and Object-Oriented Databases, 368–85. Berlin, Heidelberg : Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63792-3_26.

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Actes de conférences sur le sujet "Single object"

Zheng, Linyu, Ming Tang, Yingying Chen, Guibo Zhu, Jinqiao Wang et Hanqing Lu. « Improving Multiple Object Tracking with Single Object Tracking ». Dans 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.00248.

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Xiong, Shaopan, Shengyang Li, Longxuan Kou, Weilong Guo, Zhuang Zhou et Zifei Zhao. « Td-VOS : Tracking-Driven Single-Object Video Object Segmentation ». Dans 2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC). IEEE, 2020. http://dx.doi.org/10.1109/icivc50857.2020.9177471.

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Gopal, Rakshitha, Sandeep Kuinthodu, Muthukumar Balamurugan et Mallabadkar Atique. « Tiny Object Detection:Comparative Study using Single Stage CNN Object Detectors ». Dans 2019 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE). IEEE, 2019. http://dx.doi.org/10.1109/wiecon-ece48653.2019.9019951.

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Manzoor, Sumaira, Kyu-Hyun Sung, Yueyuan Zhang, Ye-Chan An et Tae-Yong Kuc. « Qualitative Analysis of Single Object and Multi Object Tracking Models ». Dans 2022 22nd International Conference on Control, Automation and Systems (ICCAS). IEEE, 2022. http://dx.doi.org/10.23919/iccas55662.2022.10003784.

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Hu, Yinlin, Pascal Fua, Wei Wang et Mathieu Salzmann. « Single-Stage 6D Object Pose Estimation ». Dans 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00300.

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Gopalakrishnan, Viswanath, Anirudh Purwar, Satish Lokkoju, Raushan Kumar et Kiran Nanjunda Iyer. « Interactive object segmentation using single touch ». Dans 2015 IEEE International Conference on Image Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/icip.2015.7350804.

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McBride, J., M. Snorrason, R. Eaton, N. Checka, A. Reiter, G. Foil et M. R. Stevens. « Object detection with single camera stereo ». Dans Defense and Security Symposium, sous la direction de Grant R. Gerhart, Charles M. Shoemaker et Douglas W. Gage. SPIE, 2006. http://dx.doi.org/10.1117/12.669024.

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Kleeberger, Kilian, et Marco F. Huber. « Single Shot 6D Object Pose Estimation ». Dans 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2020. http://dx.doi.org/10.1109/icra40945.2020.9197207.

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Seth, Rahul, Subrat Kumar Swain et Sudhanshu Kumar Mishra. « Single Object Tracking Using Estimation Algorithms ». Dans 2018 2nd International Conference on Energy, Power and Environment : Towards Smart Technology (ICEPE). IEEE, 2018. http://dx.doi.org/10.1109/epetsg.2018.8658715.

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Kumar, Shiv, et Sandeep Kumar Singh. « Residual Network based Single Object Tracking ». Dans 2022 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2022. http://dx.doi.org/10.1109/spices52834.2022.9774086.

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Rapports d'organisations sur le sujet "Single object"

Vetter, Thomas, et Tomaso Poggio. Linear Object Classes and Image Synthesis from a Single Example Image. Fort Belvoir, VA : Defense Technical Information Center, mars 1995. http://dx.doi.org/10.21236/ada299811.

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Chitrakaran, V. K., D. M. Dawson, J. Chen et W. E. Dixon. Euclidean Position Estimation if Features on a Moving Object Using a Single Camera : A Lyapunov-Based Approach. Fort Belvoir, VA : Defense Technical Information Center, septembre 2004. http://dx.doi.org/10.21236/ada465810.

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Dodge, M., et B. Ray. Definitions of Managed Object Extensions for Very High Speed Digital Subscriber Lines (VDSL) Using Single Carrier Modulation (SCM) Line Coding. RFC Editor, mai 2005. http://dx.doi.org/10.17487/rfc4069.

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Amela, R., R. Badia, S. Böhm, R. Tosi, C. Soriano et R. Rossi. D4.2 Profiling report of the partner’s tools, complete with performance suggestions. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.023.

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This deliverable focuses on the proling activities developed in the project with the partner's applications. To perform this proling activities, a couple of benchmarks were dened in collaboration with WP5. The rst benchmark is an embarrassingly parallel benchmark that performs a read and then multiple writes of the same object, with the objective of stressing the memory and storage systems and evaluate the overhead when these reads and writes are performed in parallel. A second benchmark is dened based on the Continuation Multi Level Monte Carlo (C-MLMC) algorithm. While this algorithm is normally executed using multiple levels, for the proling and performance analysis objectives, the execution of a single level was enough since the forthcoming levels have similar performance characteristics. Additionally, while the simulation tasks can be executed as parallel (multi-threaded tasks), in the benchmark, single threaded tasks were executed to increase the number of simulations to be scheduled and stress the scheduling engines. A set of experiments based on these two benchmarks have been executed in the MareNostrum 4 supercomputer and using PyCOMPSs as underlying programming model and dynamic scheduler of the tasks involved in the executions. While the rst benchmark was executed several times in a single iteration, the second benchmark was executed in an iterative manner, with cycles of 1) Execution and trace generation; 2) Performance analysis; 3) Improvements. This had enabled to perform several improvements in the benchmark and in the scheduler of PyCOMPSs. The initial iterations focused on the C-MLMC structure itself, performing re-factors of the code to remove ne grain and sequential tasks and merging them in larger granularity tasks. The next iterations focused on improving the PyCOMPSs scheduler, removing existent bottlenecks and increasing its performance by making the scheduler a multithreaded engine. While the results can still be improved, we are satised with the results since the granularity of the simulations run in this evaluation step are much ner than the one that will be used for the real scenarios. The deliverable nishes with some recommendations that should be followed along the project in order to obtain good performance in the execution of the project codes.

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Flinchbaugh, Bruce. Description of Curved 3-D Objects from Single Intensity Images. Fort Belvoir, VA : Defense Technical Information Center, mai 2000. http://dx.doi.org/10.21236/ada380003.

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Sikes, C., B. Ray et R. Abbi. Definitions of Managed Objects for High Bit-Rate DSL - 2nd generation (HDSL2) and Single-Pair High-Speed Digital Subscriber Line (SHDSL) Lines. RFC Editor, décembre 2005. http://dx.doi.org/10.17487/rfc4319.

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Ray, B., et R. Abbi. Definitions of Managed Objects for High Bit-Rate DSL - 2nd generation (HDSL2) and Single-Pair High-Speed Digital Subscriber Line (SHDSL) Lines Processing. RFC Editor, mai 2002. http://dx.doi.org/10.17487/rfc3276.

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Oleksiuk, Vasyl P., et Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], novembre 2020. http://dx.doi.org/10.31812/123456789/4404.

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The article analyzes the phenomenon of augmented reality (AR) in education. AR is a new technology that complements the real world with the help of computer data. Such content is tied to specific locations or activities. Over the last few years, AR applications have become available on mobile devices. AR becomes available in the media (news, entertainment, sports). It is starting to enter other areas of life (such as e-commerce, travel, marketing). But education has the biggest impact on AR. Based on the analysis of scientific publications, the authors explored the possibilities of using augmented reality in education. They identified means of augmented reality for teaching computer science at school. Such programs and services allow students to observe the operation of computer systems when changing their parameters. Students can also modify computer hardware for augmented reality objects and visualize algorithms and data processes. The article describes the content of author training for practicing teachers. At this event, some applications for training in AR technology were considered. The possibilities of working with augmented reality objects in computer science training are singled out. It is shown that the use of augmented reality provides an opportunity to increase the realism of research; provides emotional and cognitive experience. This all contributes to engaging students in systematic learning; creates new opportunities for collaborative learning, develops new representations of real objects.

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Yaremchuk, Olesya. TRAVEL ANTHROPOLOGY IN JOURNALISM : HISTORY AND PRACTICAL METHODS. Ivan Franko National University of Lviv, février 2021. http://dx.doi.org/10.30970/vjo.2021.49.11069.

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Our study’s main object is travel anthropology, the branch of science that studies the history and nature of man, socio-cultural space, social relations, and structures by gathering information during short and long journeys. The publication aims to research the theoretical foundations and genesis of travel anthropology, outline its fundamental principles, and highlight interaction with related sciences. The article’s defining objectives are the analysis of the synthesis of fundamental research approaches in travel anthropology and their implementation in journalism. When we analyze what methods are used by modern authors, also called «cultural observers», we can return to the localization strategy, namely the centering of the culture around a particular place, village, or another spatial object. It is about the participants-observers and how the workplace is limited in space and time and the broader concept of fieldwork. Some disciplinary practices are confused with today’s complex, interactive cultural conjunctures, leading us to think of a laboratory of controlled observations. Indeed, disciplinary approaches have changed since Malinowski’s time. Based on the experience of fieldwork of Svitlana Aleksievich, Katarzyna Kwiatkowska-Moskalewicz, or Malgorzata Reimer, we can conclude that in modern journalism, where the tools of travel anthropology are used, the practical methods of complexity, reflexivity, principles of openness, and semiotics are decisive. Their authors implement both for stable localization and for a prevailing transition.

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Story, Madison, Adam Smith et Sunny Adams. Fort McCoy firing ranges and military training lands : a history and analysis. Engineer Research and Development Center (U.S.), septembre 2022. http://dx.doi.org/10.21079/11681/45600.

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The US Congress codified the National Historic Preservation Act of 1966 (NHPA), the nation’s most effective cultural resources legislation to date, mostly through establishing the National Register of Historic Places (NRHP). The NHPA requires Federal agencies to address their cultural resources, which are defined as any prehistoric or historic district, site, building, structure, or object. Section 110of the NHPA requires Federal agencies to inventory and evaluate their cultural resources, and Section 106 requires them to determine the effect of Federal undertakings on those potentially eligible for the NRHP. Fort McCoy is entirely within Monroe County in west-central Wisconsin. It was first established as the Sparta Maneuver Tract in 1909.The post was renamed Camp McCoy in 1926. Since 1974, it has been known as Fort McCoy. This report provides a historic context for ranges, features, and buildings associated with the post’s training lands in support of Section 110 of the NHPA.

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