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HomeKey Engineering MaterialsKey Engineering Materials Vols. 467-469Comparative Study on Moving Object Detection...

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

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Abstract:

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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Materials, Mechatronics and Automation

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Periodical:

Key Engineering Materials (Volumes 467-469)

Pages:

503-508

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.467-469.503

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Online since:

February 2011

Authors:

Zheng Yu Xie, Bao Tian Dong, Ying Chen, Qian Li

Keywords:

Algorithm Comparative, Background Subtraction, High-Speed Railway Transport Hub, Moving Objects Detection

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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