Results 11 to 20 of about 49,655 (250)

Faster MDNet for Visual Object Tracking

open access: yesApplied 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]

open access: yesIEEE 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 0006   +4 more
openaire   +1 more source

Adversarial Examples in Visual Object Tracking in Satellite Videos: Cross-Frame Momentum Accumulation for Adversarial Examples Generation

open access: yesRemote 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
doaj   +1 more source

Two Stages for Visual Object Tracking [PDF]

open access: yes2021 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
openaire   +2 more sources

Robust Object Modeling for Visual Tracking

open access: yes2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Accepted by ICCV2023. 19 pages.
Yidong Cai   +3 more
openaire   +2 more sources

Jointly Feature Learning and Selection for Robust Tracking via a Gating Mechanism. [PDF]

open access: yesPLoS 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
doaj   +1 more source

Motion Prediction in Visual Object Tracking [PDF]

open access: yes2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
arXiv admin note: substantial text overlap with arXiv:1904 ...
Jianren Wang, Yihui He
openaire   +2 more sources

STResNet_CF Tracker: The Deep Spatiotemporal Features Learning for Correlation Filter Based Robust Visual Object Tracking

open access: yesIEEE Access, 2019
Constructing a robust appearance model of the visual object is a crucial task for visual object tracking. Recently, more and more studies combine spatial feature with a temporal feature to improve the tracking performance.
Zhengyu Zhu   +4 more
doaj   +1 more source

Visual Object Tracking: The Initialisation Problem [PDF]

open access: yes2018 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. This BB may contain a large number of background pixels in addition to the object and can lead to parts-based tracking algorithms initialising ...
George De Ath, Richard M. Everson
openaire   +3 more sources

Hard Occlusions in Visual Object Tracking [PDF]

open access: yes, 2020
Accepted at ECCV 2020 Workshop RLQ ...
Thijs P. Kuipers   +2 more
openaire   +4 more sources

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