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This paper proposes a novel method of traffic flow detection based on multiple statistical parameters. This method processes only the image of the observation window, which is preset on each land of the road. The gray value variance of current image and constructed background is employed as the main statistical parameter to detect the vehicle. The(More)
A novel algorithm for video-based traffic monitoring of multi-lane road using multiple statistical parameters is proposed to tackle the illumination condition change and adjacent moving shadow problems. This algorithm uses normalized cross correlation (NCC) of the traffic video image as the main detecting feature along with the homogeneity based parameter(More)
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