What question did this study set out to answer?

The aim is to review recent advancements in visual tracking methodologies and models, focusing on object recognition and tracking challenges.

May 3, 2026Open Access

A survey on visual object tracking based on biologically inspired tracker

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Survey reveals key techniques and challenges in visual object tracking systems and methods.

The aim is to review recent advancements in visual tracking methodologies and models, focusing on object recognition and tracking challenges.
Reviewed key techniques in image representation, shape, object, and motion models.
Analyzed various challenges such as illumination variation and occlusion affecting tracking.
Examined state-of-the-art methods including tracking-by-detection and online boosting for single target tracking.
Identified that the appearance model has gained significant attention in recent developments.
Noted that camera motion and partial occlusion pose considerable challenges to robust tracking.
Highlighted that state-of-the-art techniques (e.g., TLD, Online Boost, MIL-Track) are effective for tracking single persons.

Bhuvaneshwari et al. (2018) studied this question.

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