Vision Sensors for Object Detection and Tracking

Dear Colleagues,

Object detection and tracking are fundamental tasks in computer vision and have witnessed remarkable progress in recent years, driven by the surge in deep learning techniques. With the proliferation of cameras and sensors, vision-based systems are increasingly being deployed in a wide range of applications, including surveillance, autonomous driving, robotics, and augmented reality. However, these applications often require robust real-time object detection and tracking, and even action and event recognition, in challenging environments with varying lighting conditions, occlusions, and dynamic backgrounds. This Special Issue invites researchers to present their latest research findings, address existing challenges, and explore future directions in vision-sensor-based object detection and tracking, to pave the way for advancements in surveillance, autonomous driving, and other critical application areas.

• Deep-learning-based object detection and tracking in videos;
• Object tracking in low-resolution and low-light conditions;
• Long-tailed object detection and tracking;
• Real-time object detection and tracking;
• Object detection and tracking in 3D videos;
• Multi-object tracking in complex scenes;
• Video object segmentation in complex environments;
• Applications in surveillance, autonomous driving, and robotics;

Prof. Dr. ByoungChul Ko
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• object detection tracking
• deep learning
• computer vision