Vehicle tracking research based on computer vision
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Vision-based object segment and tracking is broadly applied for video surveillance.In this paper,an object segment and shadow elimination algorithm with background image updating is proposed to eliminate shadow in HSV color space.And then a vehicle tracking method based on Kalman filtering and motion estimating is presented and the vehicle tracking effect is improved.Finally,some experiment results about vehicle segment and tracking are given.