Abstract: The tradition CamShift algorithm will prone to tracking error only with color feature. A visual tracking algorithm based on multi-feature fusion camshift combining with Kalman prediction is proposed. The algorithm with weighted color histogram and gray gradient histogram is an effective solution to the background interference. Experiments show that it can complete real-time tracking and reduce the numbers of iteration,which improves preciseness and efficiency in the tracking.