Results 11 to 20 of about 477,456 (237)
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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Does action disrupt Multiple Object Tracking (MOT)? [PDF]
Psihologija, 2015 While the relationship between action and focused attention has been well-studied, less is known about the ability to divide attention while acting.
Thornton Ian M., Horowitz Todd S.
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Eye Behavior During Multiple Object Tracking and Multiple Identity Tracking
Vision, 2019 We review all published eye-tracking studies to date that have used eye movements to examine multiple object (MOT) or multiple identity tracking (MIT). In both tasks, observers dynamically track multiple moving objects.
Jukka Hyönä, Jie Li, Lauri Oksama
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MULTIPLE VEHICLES AND PEOPLE TRACKING IN AERIAL IMAGERY USING STACK OF MICRO SINGLE-OBJECT-TRACKING CNNS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Geo-referenced real-time vehicle and person tracking in aerial imagery has a variety of applications such as traffic and large-scale event monitoring, disaster management, and also for input into predictive traffic and crowd models.
R. Bahmanyar, S. M. Azimi, P. Reinartz
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Development of a multi-object tracking algorithm with untrained features of object matching
Компьютерная оптика, 2023 The problem of multiple object tracking is one of the most difficult tasks in computer vision. The article is devoted to a task of multiple object tracking on video footage received from an unmanned aerial vehicle.
V.A. Gorbachev, V.F. Kalugin
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Toward Real-Time UAV Multi-Target Tracking Using Joint Detection and Tracking
IEEE Access, 2023 Multiple object tracking (MOT) of unmanned aerial vehicle (UAV) systems is essential for both defense and civilian applications. As drone technology moves towards real-time, conventional tracking algorithms cannot be directly applied to UAV videos due to
Tinnakorn Keawboontan +1 more
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Semantic‐guided fusion for multiple object tracking and RGB‐T tracking
IET Image Processing, 2023 The attention mechanism has produced impressive results in object tracking, but for a good trade‐off between performance and efficiency, CNN‐based approaches still dominate, owing to quadratic complexity of attention. Here, the SGF module is proposed, an
Xiaohu Liu +3 more
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International Journal of Computational Intelligence Systems, 2016 In the area of video surveillance, tracking model for multiple object video is still a challenging task since the objects are usually affected with inter-object occlusion, object confusion, different posing, environment with heavy clutter, small size of ...
Felix M. Philip, Rajeswari Mukesh
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UMOTMA: Underwater multiple object tracking with memory aggregation
Frontiers in Marine Science, 2022 Underwater multi-object tracking (UMOT) is an important technology in marine animal ethology. It is affected by complex factors such as scattering, background interference, and occlusion, which makes it a challenging computer vision task.
Zhicheng Hao +4 more
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Hierarchical fuzzy logic based approach for object tracking [PDF]
, 2013 In this paper a novel tracking approach based on fuzzy concepts is introduced. A methodology for both single and multiple object tracking is presented.
Couto, Pedro M. +3 more
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