Vehicle Detection Method based on Adap-tive Background Updating Algorithm

Lin Guo, Xianghui Shen · 2013

This paper mainly researches and simulates the adaptive background updating algorithm based on Gaussian Mixture Model (GMM) in video vehicle detection, and it researches on some methods to extract the foreground.Frame difference method uses the brightness difference of two consecutive frames to analysis the motion characteristics and the approximate location and shape.The improved mage compensate method combines binary video and edge video.And by judging district size, erosion and dilation, disturbing lanes and noise points are successfully removed.

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