Results 11 to 20 of about 349,441 (269)
Visual learning in multiple-object tracking. [PDF]
PLoS ONE, 2008 Tracking moving objects in space is important for the maintenance of spatiotemporal continuity in everyday visual tasks. In the laboratory, this ability is tested using the Multiple Object Tracking (MOT) task, where participants track a subset of moving ...
Tal Makovski +2 more
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Siamese Visual Object Tracking: A Survey [PDF]
IEEE Access, 2021 Object tracking belongs to active research areas in computer vision. We are interested in matching-based trackers exploiting deep machine learning known as Siamese trackers. Their powerful capabilities stem from similarity learning.
Milan Ondrasovic, Peter Tarabek
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Visual Object Tracking: The Initialisation Problem [PDF]
2018 15th Conference on Computer and Robot Vision (CRV), 2018 Model initialisation is an important component of object tracking. Tracking algorithms are generally provided with the first frame of a sequence and a bounding box (BB) indicating the location of the object.
De Ath, George, Everson, Richard
core +4 more sources
Two Stages for Visual Object Tracking [PDF]
2021 International Conference on Intelligent Computing, Automation and Applications (ICAA), 2021 Siamese-based trackers have achived promising performance on visual object tracking tasks. Most existing Siamese-based trackers contain two separate branches for tracking, including classification branch and bounding box regression branch. In addition, image segmentation provides an alternative way to obetain the more accurate target region.
Chen, Fei, Zhang, Fuhan, Wang, Xiaodong
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Faster MDNet for Visual Object Tracking
Applied Sciences, 2022 With the rapid development of deep learning techniques, new breakthroughs have been made in deep learning-based object tracking methods. Although many approaches have achieved state-of-the-art results, existing methods still cannot fully satisfy ...
Qianqian Yu +3 more
doaj +1 more source
Semantics-Aware Visual Object Tracking [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2019 In this paper, we propose a semantics-aware visual object tracking method, which introduces semantics into the tracking procedure and extends the model of an object with explicit semantics prior to enhancing the robustness of three key aspects of the tracking framework, i.e., appearance model, search scheme, and scale adaptation.
Rui Yao +4 more
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Remote Sensing, 2023 The visual object tracking technology of remote sensing images has important applications in areas with high safety performance such as national defense, homeland security, and intelligent transportation in smart cities.
Yu Zhang +3 more
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Robust Object Modeling for Visual Tracking
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Accepted by ICCV2023. 19 pages.
Yidong Cai +3 more
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Jointly Feature Learning and Selection for Robust Tracking via a Gating Mechanism. [PDF]
PLoS ONE, 2016 To achieve effective visual tracking, a robust feature representation composed of two separate components (i.e., feature learning and selection) for an object is one of the key issues.
Bineng Zhong +4 more
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Motion Prediction in Visual Object Tracking [PDF]
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 arXiv admin note: substantial text overlap with arXiv:1904 ...
Jianren Wang, Yihui He
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