Relevant bibliographies by topics / Multiobject

Academic literature on the topic 'Multiobject'

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Published: 10 March 2023

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Journal articles on the topic "Multiobject"

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Zhang, Liwei, Jiahong Lai, Zenghui Zhang, Zhen Deng, Bingwei He, and Yucheng He. "Multimodal Multiobject Tracking by Fusing Deep Appearance Features and Motion Information." Complexity 2020 (September 25, 2020): 1–10. http://dx.doi.org/10.1155/2020/8810340.

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Multiobject Tracking (MOT) is one of the most important abilities of autonomous driving systems. However, most of the existing MOT methods only use a single sensor, such as a camera, which has the problem of insufficient reliability. In this paper, we propose a novel Multiobject Tracking method by fusing deep appearance features and motion information of objects. In this method, the locations of objects are first determined based on a 2D object detector and a 3D object detector. We use the Nonmaximum Suppression (NMS) algorithm to combine the detection results of the two detectors to ensure the detection accuracy in complex scenes. After that, we use Convolutional Neural Network (CNN) to learn the deep appearance features of objects and employ Kalman Filter to obtain the motion information of objects. Finally, the MOT task is achieved by associating the motion information and deep appearance features. A successful match indicates that the object was tracked successfully. A set of experiments on the KITTI Tracking Benchmark shows that the proposed MOT method can effectively perform the MOT task. The Multiobject Tracking Accuracy (MOTA) is up to 76.40% and the Multiobject Tracking Precision (MOTP) is up to 83.50%.
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Alam, M. S., O. Perez, and M. A. Karim. "Preprocessed multiobject joint transform correlator." Applied Optics 32, no. 17 (June 10, 1993): 3102. http://dx.doi.org/10.1364/ao.32.003102.

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Chu, Fu-Jen, Ruinian Xu, and Patricio A. Vela. "Real-World Multiobject, Multigrasp Detection." IEEE Robotics and Automation Letters 3, no. 4 (October 2018): 3355–62. http://dx.doi.org/10.1109/lra.2018.2852777.

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Ledyard, John O., David Porter, and Antonio Rangel. "Experiments Testing Multiobject Allocation Mechanisms." Journal of Economics & Management Strategy 6, no. 3 (September 1, 1997): 639–75. http://dx.doi.org/10.1162/105864097567228.

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Ledyard, John O., David Porter, and Antonio Rangel. "Experiments Testing Multiobject Allocation Mechanisms." Journal of Economics Management Strategy 6, no. 3 (September 1997): 639–75. http://dx.doi.org/10.1111/j.1430-9134.1997.00639.x.

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Shen, Jianbing, Zhiyuan Liang, Jianhong Liu, Hanqiu Sun, Ling Shao, and Dacheng Tao. "Multiobject Tracking by Submodular Optimization." IEEE Transactions on Cybernetics 49, no. 6 (June 2019): 1990–2001. http://dx.doi.org/10.1109/tcyb.2018.2803217.

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Li, Hui, Yapeng Liu, Wenzhong Lin, Lingwei Xu, and Junyin Wang. "Data Association Methods via Video Signal Processing in Imperfect Tracking Scenarios: A Review and Evaluation." Mathematical Problems in Engineering 2020 (August 31, 2020): 1–26. http://dx.doi.org/10.1155/2020/7549816.

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In 5G scenarios, there are a large number of video signals that need to be processed. Multiobject tracking is one of the main directions in video signal processing. Data association is a very important link in tracking algorithms. Complexity and efficiency of association method have a direct impact on the performance of multiobject tracking. Breakthroughs have been made in data association methods based on deep learning, and the performance has been greatly improved compared with traditional methods. However, there is a lack of overviews about data association methods. Therefore, this article first analyzes characteristics and performance of three traditional data association methods and then focuses on data association methods based on deep learning, which is divided into different deep network structures: SOT methods, end-to-end methods, and Wasserstein metric methods. The performance of each tracking method is compared and analyzed. Finally, it summarizes the current common datasets and evaluation criteria for multiobject tracking and discusses challenges and development trends of data association technology and data association methods which ensure robust and real time need to be continuously improved.
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Wang, Po-Tong, Jia-Shing Sheu, and Jing-Han Lai. "Camera Handoff for Multicamera Multiobject Tracking." Sensors and Materials 34, no. 2 (February 14, 2022): 563. http://dx.doi.org/10.18494/sam3616.

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Fantacci, Claudio, Ba-Ngu Vo, Ba-Tuong Vo, Giorgio Battistelli, and Luigi Chisci. "Robust Fusion for Multisensor Multiobject Tracking." IEEE Signal Processing Letters 25, no. 5 (May 2018): 640–44. http://dx.doi.org/10.1109/lsp.2018.2811750.

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Gu, Qingyi, Takeshi Takaki, and Idaku Ishii. "Fast FPGA-Based Multiobject Feature Extraction." IEEE Transactions on Circuits and Systems for Video Technology 23, no. 1 (January 2013): 30–45. http://dx.doi.org/10.1109/tcsvt.2012.2202195.

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Dissertations / Theses on the topic "Multiobject"

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Dai, Jianhua. "Simulation of Multiobject Nanoscale Systems." University of Akron / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=akron1239154185.

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Kéchichian, Razmig. "Structural priors for multiobject semi-automatic segmentation of three-dimensional medical images via clustering and graph cut algorithms." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00967381.

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We develop a generic Graph Cut-based semiautomatic multiobject image segmentation method principally for use in routine medical applications ranging from tasks involving few objects in 2D images to fairly complex near whole-body 3D image segmentation. The flexible formulation of the method allows its straightforward adaption to a given application.\linebreak In particular, the graph-based vicinity prior model we propose, defined as shortest-path pairwise constraints on the object adjacency graph, can be easily reformulated to account for the spatial relationships between objects in a given problem instance. The segmentation algorithm can be tailored to the runtime requirements of the application and the online storage capacities of the computing platform by an efficient and controllable Voronoi tessellation clustering of the input image which achieves a good balance between cluster compactness and boundary adherence criteria. Qualitative and quantitative comprehensive evaluation and comparison with the standard Potts model confirm that the vicinity prior model brings significant improvements in the correct segmentation of distinct objects of identical intensity, the accurate placement of object boundaries and the robustness of segmentation with respect to clustering resolution. Comparative evaluation of the clustering method with competing ones confirms its benefits in terms of runtime and quality of produced partitions. Importantly, compared to voxel segmentation, the clustering step improves both overall runtime and memory footprint of the segmentation process up to an order of magnitude virtually without compromising the segmentation quality.
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Elsässer, Dominik Martin [Verfasser], and Karl [Akademischer Betreuer] Mannheim. "Indirect Search for Dark Matter in the Universe : the Multiwavelength and Multiobject Approach / Dominik Martin Elsässer. Betreuer: Karl Mannheim." Würzburg : Universitätsbibliothek der Universität Würzburg, 2012. http://d-nb.info/1020361883/34.

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Kubíček, Martin. "Aerodynamická optimalizace karoserie automobilu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-229322.

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The diploma thesis is focused on create an optimization methodology for CFD issues or any other computationally demanding software. Optimization method is applied on simplified model of car, where improves its aerodynamic properties
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Belkora, Samir. "Les méthodes d'optimisation multiobjectif : synthèse et considérations théoriques : application d'un modèle probabiliste de choix au problème d'optimisation multiobjectif." Aix-Marseille 2, 1986. http://www.theses.fr/1986AIX24012.

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Ce travail traite des methodes d'optimisation multiobjectif. Dans une premiere grande partie, nous avons effectue la synthese des methodes multiobjectifs en suivant une classification traditionnelle qui divise les methodes en trois classes importantes : - les methodes necessitant une ponderation "a priori" des objectifs. - les methodes necessitant une ponderation "progressive" des objectifs ou methodes interactives. - les methodes conduisant a une ponderation "a posteriori" des objectifs. Dans une seconde partie, nous essayons d'apporter une contribution theorique a l'amelioration d'une methode appartenant a la classe des methodes interactives en integrant un modele probabiliste de choix qualitatif qui autorise des specifications assez souples, le modele probit conditionnel
This work treat of multiple objective optimization methods. In a first large part, we accomplished the multiple objective methods synthesis by following a traditional classification which separate the methods in three major class : - the methods which require "a priori" ponderation of the objectives. - the methods which require "progressive" ponderation of the objectives or the interactive methods. - the methods which lead to "a posteriori" ponderation of the objectives. In a second part, we try to provide a theorical contribution to improve a method which belongs to the interactive methods class by integrating a qualitative choice probabilistic model which authorize sufficiently versatile specifications, the conditional probit model
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Belkora, Samir. "Les Méthodes d'optimisation multiobjectif, synthèse et considérations théoriques application d'un modèle probabiliste de choix au problème d'optimisation multiobjectif." Grenoble 2 : ANRT, 1986. http://catalogue.bnf.fr/ark:/12148/cb37595855r.

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Mouelhi, Ouael. "Contribution à l'optimisation multiobjectif en conception multidisciplinaire." Phd thesis, INSA de Lyon, 2010. http://tel.archives-ouvertes.fr/tel-00824460.

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Ce travail de recherche entre dans le cadre de la conception pluridisciplinaire de systèmes techniques. Son contexte est le processus support à l'optimisation en conception organique suivant l'approche d'Ingénierie Système. La problématique est l'affectation des variables et le choix de composants en tenant compte des possibilités de couplage entre les disciplines et des objectifs multiples à satisfaire. L'objectif poursuivi est un apport méthodologique et outillé pour l'aide à l'optimisation multiobjectif et multidisciplinaire. La contribution comporte deux volets principaux. D'une part, deux méthodes de recherche basées sur les méta-heuristiques permettent de déterminer rapidement un ensemble des solutions efficaces. D'autre part, l'application de méthodes de discrimination fournit aux concepteurs une aide à l'interprétation des ensembles de solutions efficaces dégagés dans la phase d'optimisation. Ces propositions sont illustrées par deux exemples de conception en robotique.
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Badufle, Cécile. "Définition conceptuelle d'avions : vers une optimisation multiobjet, robuste et incertaine." Toulouse 3, 2007. http://www.theses.fr/2007TOU30294.

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La conception d'avions au stade avant-projet consiste à déterminer les principales caractéristiques d'un avion répondant à un cahier des charges donné. Ces études peuvent être résumées par des problèmes d'optimisation globale sous contraintes avec typiquement un millier de paramètres et presque autant de contraintes. Les contraintes expriment la faisabilité physique ainsi que le cahier des charges à respecter, et les objectifs sont des performances de l'avion guidées par des études de marché. De plus, le conception d'avions est un problème d'optimisation multicritère du fait de la présence de fonctions objectifs antagonistes. L'objectif de cette étude est d'introduire de nouvelles méthodes mathématiques qui peuvent être utiles dans un outil de dimensionnement avant-projet pour résoudre le problème d'optimisation d'une configuration d'avion. Nous avons contribué à l'amélioration des méthodes d'optimisation qui sont couramment utilisées au département des Avant-Projets d'Airbus. En utilisant les algorithmes génétiques, nous avons rendu le processus d'optimisation monocritère plus robuste. Ensuite, nous avons introduit des méthodes d'optimisation multicritère car nous avions plusieurs critères conflictuels à considérer. Comme les temps de calcul sont devenus importants, nous avons décidé de substituer au modèle d'avion un modèle approché. Nous avons implémenté les fonctions à base radiale pour approcher les contraintes et les fonctions objectifs. Enfin, nous avons propagé les incertitudes du modèle pour estimer la robustesse des résultats de l'optimisation et nous avons proposé un aboutissement possible de l'intégration de ces techniques~: donner aux ingénieurs une perception opérationnelle de l'espace de définition
Aircraft sizing studies consist in determining the main characteristics of an aircraft starting from a set of requirements. These studies can be summarized as global constrained optimisation problems with typically one thousand parameters and almost as many constraints. The constraints express physical feasibility and the requirements to be satisfied, and the objectives are market driven performances of the aircraft. Moreover, aircraft sizing is typically a multicriteria optimisation problem because of some competing objectives. The aim of this thesis is to introduce new mathematical methods that can be useful in a future project sizing tool to treat the aircraft configuration optimisation problem. We contributed in improving the optimisation methods that are currently used in the Airbus Future Project Office. By using genetic algorithms, we made the mono-criterion optimisation process more robust. Then, we introduced multicriteria optimisation methods because we had several conflicting criteria to consider. As the calculation times became important, we decided to substitute the aircraft model by a surrogate model. We implemented radial basis functions to approximate the constraint and the objective functions. Finally, we propagated the model uncertainty to assess the robustness of the optimisation results and we proposed a possible outcome of the integration of these different techniques in order to yield the engineers a global and operational perception of the design space
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Gräbener, Tristram. "Calcul d'itinéraire multimodal et multiobjectif en milieu urbain." Phd thesis, Université des Sciences Sociales - Toulouse I, 2010. http://tel.archives-ouvertes.fr/tel-00553335.

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Par conscience environnementale ou à cause des coûts de l'énergie, de plus en plus de personnes utilisent les transports en commun ou les transports doux. Cependant, un seul mode de transport ne peut pas couvrir tous les besoins. De ce fait, la combinaison de différents modes de transport est une solution très intéressante. Trouver le meilleur chemin multimodal pour une personne donnée est une tâche difficile. Chaque personne a des préférences différentes concernant la durée, le coût, la pollution, les changements, etc. De plus, le choix d'un même usager dépendent des circonstances. S'il pleut, il ne prendra pas le vélo et s'il a des bagages encombrants, il évitera les changements. L'optimisation multiobjectif permet de proposer plusieurs solutions dites équivalentes. Ainsi l'utilisateur choisira l'itinéraire qui lui convient en fonction de ses préférences à un moment donné. Le problème principal à résoudre est donc celui du plus court chemin multiobjectif de point à point dépendant du temps. L'enjeu est d'être capable d'avoir des résultats de l'ordre de la seconde pour une grande ville pour envisager une application réelle. Une attention particulière a été portée sur la simplicité et la généricité des approches proposées. Nous ne nous restreignons pas à un nombre prédéfini de modes de transport ou d'objectifs. Plusieurs algorithmes réputés pour leurs performances théoriques ou expérimentales ont été adaptés au cas multiobjectif ou à la dépendance du temps. Nous avons également proposé des heuristiques permettant de garder le temps de calcul de l'ordre de la seconde.
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Gräbener, Tristram. "Calcul d'itinéraire multimodal et multiobjectif en mileu urbain." Toulouse 1, 2010. http://www.theses.fr/2010TOU10021.

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Par conscience environnementale ou à cause des coûts de l'énergie, de plus en plus de personnes utilisent les transports en commun ou les transports doux. Cependant, un seul mode de transport ne peut couvrir tous les besoins. De ce fait, la combinaison de différents modes de transport est une solution très intéressante. Trouver le meilleur chemin multimodal pour une personne donnée est une tâche difficile. Chaque personne a des préférences différentes concernant la durée, le coût, la pollution, les changements, etc. De plus, le choix d'un même usager dépend des circonstances. S'il pleut, il ne prendra pas le vélo et s'il a des bagages encombrants, il évitera les changements. L'optimisation multiobjectif permet de proposer plusieurs solutions dites équivalentes. Ainsi l'utilisateur choisira l'itinéraire qui lui convient en fonction de ses préférences à un moment donné. Le problème principal à résoudre est donc celui du plus court chemin multiobjectif de point à point dépendant du temps. L'enjeu est d'être capable d'avoir des résultats de l'ordre de la seconde pour une grande ville pour envisager une application réelle. Une attention particulière a été portée sur la simplicité et la généricité des approches proposées. Nous ne nous restreignons pas à un nombre prédéfini de modes de transport ou d'objectifs. Plusieurs algorithmes réputés pour leurs performances théoriques ou expérimentales ont été adaptés au cas multiobjectif ou à la dépendance du temps. Nous avons également proposé des heuristiques permettant de garder le temps de calcul de l'ordre de la seconde. Les algorithmes ont été appliqués avec succès sur les villes de San Francisco, Los Angeles et Rennes
With the growth of environmental awareness and high energy prices, more and more people use public transport, cycle or walk. However, just one mean of transport cannot cover all the transportation needs. Therefor, combining different means of transport is often an interesting solution. Finding the best multimodal route for a given person is a hard task. Every person has different opinions concerning the duration, the cost, pollution, number of changes etc. Even the same person might choose different paths depending on circumstances : if it's raining he will not cycle and if he has to carry heavy luggages, he will avoid changes. Multicriteria optimization allows to suggest multiple solutions that are said to be equivalent. The user will chose the route that fits the best according to his preferences at a given moment. The main problem to solve is the shortest multimodal time dependent path. The challenge is to have results in less than a second on a large city in order to have a real life application. A great care has been taken to remain simple an generic. We do not restrict the number of means of transport nor the considered objectives. We adapted algorithms known for their theoretical or experimental performances in order to take in account the time dependency or to be multiobjective. Well also suggest heuristics to keep computation time around one second. The algorithms have been tested with success on San Francisco, Los Angeles and Rennes
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Books on the topic "Multiobject"

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Kartini, Unit Three. Model optimisasi multiobjectif untuk perencanaan pembangkitan sebagai upaya memenuhi kebutuhan tenaga listrik jangka panjang: Optimization model multiobjective for design of power plant as effort fulfill long range electric power requirement : laporan penelitian hibah bersaing XV, tahun anggaran 2007. [Surabaya]: Universitas Negeri Surabaya, 2007.

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Herrera, Marcela. Intelligent decision making for solving multiobject, multicombinatory problems and models of cellular automata for continuous improvement. Lulu.com, 2018.

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Siarry, P., and Y. Collette. Optimisation multiobjectif. Eyrolles, 2002.

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Book chapters on the topic "Multiobject"

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Hatzidimitriou, D. "The Impact of Multiobject Spectroscopy on the Study of Dwarf Spheroidal Galaxies Orbiting the MW." In Wide-Field Spectroscopy, 153–59. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5722-3_25.

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Al-Jadir, Lina, and Michel Léonard. "Multiobjects to Ease Schema Evolution in an OODBMS." In Conceptual Modeling – ER ’98, 316–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-540-49524-6_25.

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"Multiobject Spectroscopy." In Optical 3D-Spectroscopy for Astronomy, 61–80. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2017. http://dx.doi.org/10.1002/9783527674824.ch2.

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Guha, Prithwijit, Amitabha Mukerjee, and K. S. Venkatesh. "Occlusion Sequence Mining for Activity Discovery from Surveillance Videos." In Pattern Recognition Technologies and Applications, 212–26. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-807-9.ch009.

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Complex multiobject interactions result in occlusion sequences, which are a visual signature for the event. In this work, multiobject interactions are tracked using a set of qualitative occlusion primitives derived on the basis of the persistence hypothesis: objects continue to exist even when hidden from view. Variable length temporal sequences of occlusion primitives are shown to be well correlated with many classes of semantically significant events. In surveillance applications, determining occlusion primitives is based on foreground blob tracking and requires no prior knowledge of the domain or camera calibration. New foreground blobs are identified as putative objects that may undergo occlusions, split into multiple objects, merge back again, and so forth. Significant activities are identified through temporal sequence mining; these bear high correlation with semantic categories (e.g., disembarking from a vehicle involves a series of splits). Thus, semantically significant event categories can be recognized without assuming camera calibration or any environment/object/action model priors.
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Wu, Xiaodong, Mona K. Garvin, and Milan Sonka. "Optimal Simultaneous Multisurface and Multiobject Image Segmentation." In Image Processing and Analysis with Graphs, 265–303. CRC Press, 2017. http://dx.doi.org/10.1201/b12281-10.

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Chen, Goong, Stephen Fulling, and Jeesen Chen. "Generalization of Grover’s algorithm to multiobject search in quantum computing, Part I." In Computational Mathematics. Chapman and Hall/CRC, 2002. http://dx.doi.org/10.1201/9781420035377.ch6.

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Chen, Goong, and Shunhua Sun Chen. "Generalization of Grover’s algorithm to multiobject search in quantum computing, Part II." In Computational Mathematics. Chapman and Hall/CRC, 2002. http://dx.doi.org/10.1201/9781420035377.ch7.

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"Generalization of Grover’s algorithm to multiobject search in quantum computing, Part II: general unitary transfor- mations." In Mathematics of Quantum Computation, 177–86. Chapman and Hall/CRC, 2002. http://dx.doi.org/10.1201/9781420035377-8.

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"Generalization of Grover’s algorithm to multiobject search in quantum computing, Part I: continuous time and dis- crete time." In Mathematics of Quantum Computation, 151–76. Chapman and Hall/CRC, 2002. http://dx.doi.org/10.1201/9781420035377-7.

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Huilcapi, Víctor, Xavier Blasco, Juan M. Herrero, and Alberto Pajares. "Aplicación de una metodología de selección de bucles y ajuste de controladores mediante optimización multiobjeto." In XLII JORNADAS DE AUTOMÁTICA : LIBRO DE ACTAS, 317–24. Servizo de Publicacións da UDC, 2021. http://dx.doi.org/10.17979/spudc.9788497498043.317.

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En este artículo se presenta la aplicación de una metodología de selección de lazos de control y ajuste de controladores para controlar un sistema multivariable no lineal denominado unidad caldera-turbina. Se plantearon dos escenarios y se definieron dos conceptos de diseño (combinaciones de lazos de control), cada uno con seis objetivos. Se muestra como la metodología permite establecer un marco de comparación global de cada concepto de diseño y ofrece información detallada a un diseñador para que de acuerdo con sus preferencias pueda seleccionar una solución adecuada para controlar el sistema bajo estudio.
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Conference papers on the topic "Multiobject"

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Murowinski, Richard G., Tim Bond, David Crampton, Timothy J. Davidge, J. Murray Fletcher, Brian Leckie, Christopher L. Morbey, et al. "Gemini multiobject spectrographs." In Astronomical Telescopes & Instrumentation, edited by Sandro D'Odorico. SPIE, 1998. http://dx.doi.org/10.1117/12.316838.

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Bond, Tim, J. Murray Fletcher, and Kei Szeto. "Gemini multiobject spectrograph optomechanical design." In Optical Science, Engineering and Instrumentation '97, edited by Alson E. Hatheway. SPIE, 1997. http://dx.doi.org/10.1117/12.279101.

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Liu, Yunhai, Lu Yu, and Qingdong Yao. "Model-based coding for multiobject sequence." In Photonics West 2001 - Electronic Imaging, edited by Bernd Girod, Charles A. Bouman, and Eckehard G. Steinbach. SPIE, 2000. http://dx.doi.org/10.1117/12.411866.

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Avila, Gerardo, Jean Guerin, Ana M. Fernandez, R. Belleger, M. Dreux, R. Schmidt, Gerard Rousset, Paul Felenbok, and A. Collin. "Multiobject spectroscopy with MEFOS at ESO." In SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, edited by Samuel C. Barden. SPIE, 1995. http://dx.doi.org/10.1117/12.211847.

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Luo, Qingming, Pengcheng Li, Chenpeng Mu, Shaoqun Zeng, and Britton Chance. "Multiobject wireless noninvasive optical oxygen monitor." In BiOS Europe '98, edited by Francesco Baldini, Nathan I. Croitoru, Martin Frenz, Ingemar Lundstroem, Mitsunobu Miyagi, Riccardo Pratesi, and Otto S. Wolfbeis. SPIE, 1999. http://dx.doi.org/10.1117/12.336927.

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Murowinski, Richard G., Jeremy R. Allington-Smith, David Crampton, Roger L. Davies, J. Murray Fletcher, David M. Henry, Isobel Hook, et al. "Gemini-north multiobject spectrograph optical performance." In Astronomical Telescopes and Instrumentation, edited by Masanori Iye and Alan F. M. Moorwood. SPIE, 2003. http://dx.doi.org/10.1117/12.461729.

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Murowinski, Richard G., Jeremy R. Allington-Smith, Steven M. Beard, David Crampton, Roger L. Davies, Colin G. Dickson, Isobel Hook, et al. "Gemini-North Multiobject Spectrograph Stability Performance." In Astronomical Telescopes and Instrumentation, edited by Masanori Iye and Alan F. M. Moorwood. SPIE, 2003. http://dx.doi.org/10.1117/12.461744.

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Elston, Richard. "FLAMINGOS: a multiobject near-IR spectrometer." In Astronomical Telescopes & Instrumentation, edited by Albert M. Fowler. SPIE, 1998. http://dx.doi.org/10.1117/12.317265.

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Konidaris, Nicholas P., Gwen C. Rudie, Andrew B. Newman, Tyson Hare, Jason E. Williams, Alicia Lanz, Daniel D. Kelson, and Jeffrey D. Crane. "The Magellan Infrared Multiobject Spectrograph project." In Ground-based and Airborne Instrumentation for Astronomy VIII, edited by Christopher J. Evans, Julia J. Bryant, and Kentaro Motohara. SPIE, 2020. http://dx.doi.org/10.1117/12.2561171.

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Jin, Dongliang, Songhao Zhu, and Yanyun Cheng. "Trajectory data association based multiobject tracking." In 2017 29th Chinese Control And Decision Conference (CCDC). IEEE, 2017. http://dx.doi.org/10.1109/ccdc.2017.7978095.

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Reports on the topic "Multiobject"

1

Sznaier, Mario. Multiobject Robust Control of Nonlinear Systems via State Dependent Coefficient Representations and Applications. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada419042.

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