Results 21 to 30 of about 5,933,737 (230)
Harnessing feedback region proposals for multi‐object tracking
IET Computer Vision, 2020 In the tracking‐by‐detection approach of online multiple object tracking (MOT), a major challenge is how to associate object detections on the new video frame with previously tracked objects.
Aswathy Prasanna Kumar, Deepak Mishra
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Self-correcting Bayesian target tracking [PDF]
, 2015 The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the authorAbstract Visual tracking, a building block for many applications, has challenges ...
Biresaw, Tewodros Atanaw
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Interactive multi-object tracking for virtual object manipulation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 We present an interactive system to manipulate a virtual object by tracking multiple hands in 3D space using a Kinect device. The system segments hand shapes from a captured 3D scene by using depth information and active contours.
Y. Guo, M. Ying Yang, B. Rosenhahn
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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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Structural Similarity-Based Object Tracking in Video Sequence [PDF]
, 2006 This paper addresses the problem of object tracking in video sequences. The use of a structural similarity measure for tracking is proposed. The measure reflects the distance between two images by comparing their structural and spatial characteristics ...
Bull, David +11 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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Efficient Single-Shot Multi-Object Tracking for Vehicles in Traffic Scenarios
Sensors, 2021 Multi-object tracking is a significant field in computer vision since it provides essential information for video surveillance and analysis. Several different deep learning-based approaches have been developed to improve the performance of multi-object ...
Youngkeun Lee +3 more
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Regional variance for multi-object filtering [PDF]
, 2014 Recent progress in multi-object filtering has led to algorithms that compute the first-order moment of multi-object distributions based on sensor measurements.
Delande, Emmanuel D +5 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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