Research on Moving Object Detection Method of High-Speed Railway Transport Hub Video Surveillance

2012 ◽  
Author(s):  
Xie Zhengyu ◽  
Jia Limin ◽  
Qin Yong ◽  
Wang Li
Keyword(s):  
Object Detection ◽  
Video Surveillance ◽  
High Speed ◽  
Detection Method ◽  
Moving Object Detection ◽  
Moving Object ◽  
Railway Transport ◽  
High Speed Railway

Comparative Study on Moving Object Detection Method of Video Surveillance System in China High-Speed Railway Transport Hub

2011 ◽  
Vol 467-469 ◽  
pp. 503-508 ◽  
Author(s):  
Zheng Yu Xie ◽  
Bao Tian Dong ◽  
Ying Chen ◽  
Qian Li
Keyword(s):  
Object Detection ◽  
Video Surveillance ◽  
Surveillance System ◽  
High Speed ◽  
Detection Method ◽  
Moving Object Detection ◽  
Moving Object ◽  
Video Surveillance System ◽  
Railway Transport ◽  
High Speed Railway

To detect moving objects from a video sequence is a fundamental and critical task in many computer vision applications. For China high-speed railway transport hub video surveillance system, we need a stable, fast and accurate moving object detection method to promptly find the congestion of passenger flow and other dangerous in hub. Through the comparative study on moving object detection, we find the average/median filtering is the most appropriate method for China high-speed railway transport hub video surveillance.

Three-Pronged Compensation and Hysteresis Thresholding for Moving Object Detection in Real-Time Video Surveillance

2017 ◽  
Vol 64 (6) ◽  
pp. 4945-4955 ◽  
Author(s):  
Chia-Hung Yeh ◽  
Chih-Yang Lin ◽  
Kahlil Muchtar ◽  
Hsiang-Erh Lai ◽  
Ming-Ting Sun
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Video Surveillance ◽  
Moving Object Detection ◽  
Moving Object ◽  
Hysteresis Thresholding
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