The Design and Implementation of Moving Object Detecting Algorithm in Intelligent Video Surveillance

Abstract:

In view of the problems existed in moving object detection in video surveillance system, background subtraction method is adopted and combined with Surendra algorithm for background modeling, an algorithm of detecting moving object from video is proposed, and OpenCV programming is adopted in Visual c ++ 6.0 for implementation. Experimental results indicate that the algorithm can accurately detect and identify moving object in video by reading the image sequence of surveillance video, the validity of the algorithm is verified.

• Periodical: Applied Mechanics and Materials (Volumes 738-739)
• Pages: 779-783
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.738-739.779
• Online since: March 2015
• Authors: Jin Hua Sun*, Cui Hua Tian
• Keywords: Background Subtraction, Moving Object Detection, Video Surveillance

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