Tracking in Cctv Video Using Human Visual System Inspired Algorithm
نویسندگان
چکیده
Most recent motion tracking systems rely on subtraction of a background model from the current frame to leave moving objects segmented. Frame-to-frame correspondence is then used to match segmented regions and track objects. A great number of difficulties are involved in building and maintaining an accurate background model in the face of unpredictable lighting and weather conditions. Further, correspondence methods are not robust in matching non-rigid targets such as pedestrians. Here, a motion-tracking algorithm based on form–motion interaction similar to that used in the Human Visual System is proposed. This method avoids the difficulties of background modelling and tracks moving targets primarily based on their motion, rather than their appearance. This method is demonstrated in several CCTV pedestrian tracking scenarios.
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