Mean Shift Kalman Object Tracking for Video Surveillance

Abstract

In this paper we propose the mean shift Kalman object tracking algorithm for video surveillance which is based on the mean shift algorithm and the Kalman filter. The classical mean shift algorithm for tracking in perfectly maintained conditions constitutes a good tracking method. This was based on color to predict the location of the object in the video… (More)

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