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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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Visual Object Tracking Using Structured Sparse PCA-Based Appearance Representation and Online Learning [PDF]
Sensors, 2018 Visual object tracking is a fundamental research area in the field of computer vision and pattern recognition because it can be utilized by various intelligent systems.
Gang-Joon Yoon +2 more
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Online Siamese Network for Visual Object Tracking [PDF]
Sensors, 2019 Offline-trained Siamese networks are not robust to the environmental complication in visual object tracking. Without online learning, the Siamese network cannot learn from instance domain knowledge and adapt to appearance changes of targets.
Shuo Chang +3 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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MATI: Multimodal Adaptive Tracking Integrator for Robust Visual Object Tracking [PDF]
SensorsVisual object tracking, pivotal for applications like earth observation and environmental monitoring, encounters challenges under adverse conditions such as low light and complex backgrounds.
Kai Li +3 more
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One-Shot Scale and Angle Estimation for Fast Visual Object Tracking
IEEE Access, 2019 Visual object tracking is the process of tracking an arbitrary object in a video, where the bounding box of the object is given in the first frame. Siamese network-based visual object tracking approaches have recently received considerable attention for ...
Dong-Hyun Lee
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Visual object tracking challenges revisited: VOT vs. OTB. [PDF]
PLoS ONE, 2018 Numerous benchmark datasets and evaluation toolkits have been designed to facilitate visual object tracking evaluation. However, it is not clear which evaluation protocols are preferred for different tracking objectives.
Sun Bei +4 more
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Visual object tracking: Progress, challenge, and future [PDF]
The Innovation, 2023 Libo Zhang, Heng Fan
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A Review of Deep Learning-Based Visual Multi-Object Tracking Algorithms for Autonomous Driving
Applied Sciences, 2022 Multi-target tracking, a high-level vision job in computer vision, is crucial to understanding autonomous driving surroundings. Numerous top-notch multi-object tracking algorithms have evolved in recent years as a result of deep learning’s outstanding ...
Shuman Guo +7 more
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Visual Multiple-object Tracking Algorithm Based on Motion Consistency
Kongzhi Yu Xinxi Jishu, 2023 The visual multiple-object tracking module is a key component of an active onboard obstacle detection system. However, the most of currently used visual multiple-object tracking algorithms rely on offline calculation for object detection, without ...
YANG Hailang +5 more
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