Results 31 to 40 of about 103,598 (304)
Remote Sensing, 2022 The task of multi-object tracking via deep learning methods for UAV videos has become an important research direction. However, with some current multiple object tracking methods, the relationship between object detection and tracking is not well handled,
Yeneng Lin +5 more
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Multi‐object tracking using dominant sets
IET Computer Vision, 2016 Multi‐object tracking is an interesting but challenging task in the field of computer vision. Most previous works based on data association techniques merely take into account the relationship between detection responses in a locally limited temporal ...
Yonatan T. Tesfaye +3 more
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Enhancement Online Multi _Object Tracking In Dynamic Environment [PDF]
International Journal of Intelligent Computing and Information SciencesObject tracking is crucial for a wide range of computer vision applications, including autonomous navigation and surveillance systems. This paper introduces StrongSort, a novel object tracking algorithm designed to tackle the difficulties of achieving ...
EMAN seleem +3 more
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Inferring tracklets for multi-object tracking [PDF]
CVPR 2011 WORKSHOPS, 2011 Recent work on multi-object tracking has shown the promise of tracklet-based methods. In this work we present a method which infers tracklets then groups them into tracks. It overcomes some of the disadvantages of existing methods, such as the use of heuristics or non-realistic constraints.
Prokaj, J, Duchaineau, M A, Medioni, G
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Object Tracking with Multiple Instance Learning and Gaussian Mixture Model [PDF]
, 2015 Recently, Multiple Instance Learning (MIL) technique has been introduced for object tracking\linebreak applications, which has shown its good performance to handle drifting problem. While some instances in positive bags not only contain objects, but also
Zhao, Xiangmo +4 more
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A sparsity-driven approach to multi-camera tracking in visual sensor networks [PDF]
, 2013 In this paper, a sparsity-driven approach is presented for multi-camera tracking in visual sensor networks (VSNs). VSNs consist of image sensors, embedded processors and wireless transceivers which are powered by batteries. Since the energy and bandwidth
Çetin, Müjdat +3 more
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Multi-Object Tracking with Tracked Object Bounding Box Association [PDF]
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021 6 pages, accepted paper at ICME workshop ...
Nanyang Yang, Yi Wang 0068, Lap-Pui Chau
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Binary histogram based split/merge object detection using FPGAs [PDF]
, 2010 Tracking of objects using colour histograms has proven successful in various visual surveillance systems. Such systems rely heavily on similarity matrices to compare the appearance of targets in successive frames.
Hunter, A +7 more
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Efficient Online Tracking-by-Detection With Kalman Filter
IEEE Access, 2021 Visual tracking of multiple objects in videos has a promisingly broad application in manufacturing, construction, traffic, logistics, etc., especially in large-scale applications where it is not feasible to attach markers to many objects for traditional,
Siyuan Chen, Chenhui Shao
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Survey on Strategies for Solving Target Overlap Issues in Multi-Object Tracking [PDF]
ITM Web of ConferencesWith the development of artificial intelligence and related fields, technologies for image recognition and tracking objects have been continuously innovating. Starting from the initial single-object tracking, through numerous research improvements, multi-
Wang Sizhe
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