Moving object detection using median-based scale invariant local ternary pattern for video surveillance system

2017 ◽  
Vol 33 (3) ◽  
pp. 1933-1943 ◽  
Author(s):  
K. Kalirajan ◽  
M. Sudha
Keyword(s):  
Object Detection ◽  
Video Surveillance ◽  
Surveillance System ◽  
Moving Object Detection ◽  
Moving Object ◽  
Video Surveillance System ◽  
Scale Invariant ◽  
Local Ternary Pattern

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.

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