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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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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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Visual object tracking: Progress, challenge, and future [PDF]
The Innovation, 2023 Article discusses how visual object tracking aims to continuously localize the target object of interest in a video sequence. To provide the community an overview, in this commentary, the authors discuss visual tracking from different aspects.
Libo Zhang, Heng Fan
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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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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 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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Siamese Visual Object Tracking: A Survey
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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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
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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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