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.
Comparative Study on Moving Object Detection Method of Video Surveillance System in China High-Speed Railway Transport Hub
2011
6 Seiten
Conference paper
English
Trans Tech Publications | 2011
|British Library Conference Proceedings | 2011
|Gaussian Mixture Classification for Moving Object Detection in Video Surveillance Environment
British Library Conference Proceedings | 2005
|China High-Speed Railway Railcar System
British Library Conference Proceedings | 2000
|