Results 11 to 20 of about 49,932 (248)

Visual learning in multiple-object tracking. [PDF]

open access: yesPLoS 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
doaj   +4 more sources

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

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

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

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

System Analysis Approach to Visual Object Tracking

open access: yesSukkur IBA Journal of Emerging Technologies, 2020
In the modern-day study of system behaviour and analysis, understanding the response of how the system will behave in a certain condition is considered vital.
Obaid Ahmed Khan, Muhammad Ahmed Saeed
doaj   +1 more source

Deep Feature Based Siamese Network for Visual Object Tracking

open access: yesEnergies, 2022
One of the most important and challenging research subjects in computer vision is visual object tracking. The information obtained from the first frame consists of limited and insufficient information to represent an object.
Su-Chang Lim, Jun-Ho Huh, Jong-Chan Kim
doaj   +1 more source

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