Verification of Detection Methods for Robust Human Tracking System
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.