Verification of Detection Methods for Robust Human Tracking System

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Much recent research is concerned with overcoming limitations of existing video surveillance systems, particularly for use in automatic human tracking systems. This paper presents detection methods which detect a lost target person during track in automatic human tracking system. The detection methods utilize an algorithm which determines the position of neighbors in a system of video cameras. By utilizing this deployed position and the view distance of video cameras, this algorithm also determines the interrelationship cameras in such a network must have in an automatic human tracking system.