|
 |
| Bimonthly Since 1986 |
ISSN 1004-9037
|
|
 |
|
|
| 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
|
|
|
|
| |
|
|
|
|
|
|
|
|
|
05 July-September 2023, Volume 38 Issue 4
|
|
|
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.
PDF Download (click here)
|
|
|
|
|
