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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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05 July-September 2023, Volume 38 Issue 4
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Abstract
Moving object detection has achieved a noticeable attention in many computer vision applications. The research community have contributed lot of works for dealing with major challenges of moving object detection in real-world scenarios. The paper presents a comprehensive review on different moving object detection techniques classified into four categories: Background Modeling Based techniques; Frame Difference Based techniques; Optical Flow Based techniques and Deep Learning Based techniques. Moreover, detailed descriptions of various methods in each of this category are also provided.
Keyword
Computer Vision; Moving Object Detection Techniques; Comprehensive Survey.
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