A Real Time Object Tracking System for Visual Surveillance
نویسندگان
چکیده
Recent investigations have shown the advantages of keeping multiple hypotheses during visual tracking. In this paper we explore an alternative method, which presents the concepts of histogram matching technique and absolute frame subtraction to implement a robust automated object tracking system. The object is later tracked using discrete kalman filter technique. Such a tracking system reduces the computation time by a factor of 10 w.r.t. using other methods of segmentation.
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