Advanced Techniques and Applications of Visual Object Tracking
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 11
Special Issue Editors
Interests: computer vision; visual object tracking; multi-object tracking
Special Issue Information
Dear Colleagues,
Visual object tracking is a fundamental problem in the computer vision. It also has many crucial applications including video surveillance, intelligent vehicle, etc. The goal for tacking is to localize the target of an arbitrary category in an arbitrary scenario from a video, given its initial localization (a bounding box) from the first frame. In recent decades, lots of tracking algorithms have been proposed, including the correlation filter-based methods, Siamese network-based methods, and the transformer-based methods. Also, many large-scale tracking benchmarks have been built in the deep learning era. Despite this, it remains challenging to achieve universal tracking.
In this Special Issue, we aim to call for the research on both classical visual object tracking methods, as well as the extensions of it, such as the multi-modal tracking with depth/infrared/event cameras, the UAV visual tracking, the underwater tracking, and even the niche transparent object tracking, etc. We also encourage research on the applications of visual object tracking and the corresponding new benchmarks in specific areas, such as cell tracking in medical fields, etc.
Dr. Ruize Han
Dr. Pengyu Zhang
Guest Editors
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Keywords
- object tracking
- video perception
- computer vision
- tracking method
- tracking benchmark
- application of tracking
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