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

Abstract:

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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.

Info:

Periodical:

Key Engineering Materials (Volumes 467-469)

Edited by:

Dehuai Zeng

Pages:

503-508

DOI:

10.4028/www.scientific.net/KEM.467-469.503

Citation:

Z. Y. Xie et al., "Comparative Study on Moving Object Detection Method of Video Surveillance System in China High-Speed Railway Transport Hub", Key Engineering Materials, Vols. 467-469, pp. 503-508, 2011

Online since:

February 2011

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Price:

$35.00

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