A Pedestrian Tracking Algorithm Based on Mean Shift Using Color Histogram Equalization Method.(Conf 2017)
The main stay of this project is to develop an improved pedestrian tracking algorithm with image sequences acquired by surveillance cameras.
We combine background separation and the color histogram equalization. This method can adjust the contrast of the frame of video and get the foreground tracking pedestrian object. Based on this work, the success rate of tracking can be improved when the tracking object and dynamic background.