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Intrusion Detection Algorithm based on Motion Information in Video Sequence  

Kim, Alla (Division of Computer Engineering, Mokwon University)
Kim, Yoon-Ho (Division of Computer Engineering, Mokwon University)
Publication Information
Journal of Advanced Navigation Technology / v.14, no.2, 2010 , pp. 284-288 More about this Journal
Abstract
Video surveillance is widely used in establishing the societal security network. In this paper, intrusion detection based on visual information acquired by static camera is proposed. Proposed approach uses background model constructed by approximated median filter(AMF) to find a foreground candidate, and detected object is calculated by analyzing motion information. Motion detection is determined by the relative size of 2D object in RGB space, finally, the threshold value for detecting object is determined by heuristic method. Experimental results showed that the performance of intrusion detection is better one when the spatio-temporal candidate informations change abruptly.
Keywords
intrusion detection; AMF; detected object;
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