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October 10, 2025Open Access

Object Tracking: A Comprehensive Survey From Classical Approaches to Large Vision-Language and Foundation Models

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This survey reviews object tracking methods, highlighting significant trends in vision-language and deep learning models.

Object tracking is central to computer vision, with broad applications in areas like surveillance and autonomous driving.
This survey categorizes tracking into Single Object Tracking, Multi-Object Tracking, and Long-Term Tracking, highlighting various approaches.
By reviewing advances in deep learning, vision-language, and hybrid models, the survey emphasizes emerging trends and challenges in object tracking.
The survey aims to bridge traditional methodologies with modern techniques, providing references for researchers and practitioners in the field.

Raja et al. (2025) studied this question.

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