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Automatic counting of vehicles and estimation of origin-destination tables have become potential applications for traffic surveillance in urban areas. In this work we propose an alternative to Optical Flow tracking to segment and track vehicles with scale/size variation during movement known as adaptive size tracking problem. The performance evaluation of our proposed framework has been carried out on both public and privacy data sets. We show that our approach achieves better origin destination tables for urban traffic than the Optical Flow method which is used as baseline.

Vehicle Tracking and Origin-destination Counting System for Urban Environment