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A Novel Method of Human Tracking Based on Stereo Vision

The paper presents a novel human tracking method based on stereo vision. This method works for tracking human across scene, which will combine disparity map and the size of human together to detect a person in the scene and track it. We also extend the method by not only make use of the depth information from the disparity map but also compare the difference of each disparity map pair to get the motion change information and speed information as well. Then we combine the target depth information, size information and speed information together to detect the human. Kalman Filter is used for tracking in both methods and compared the results in the experiment. The tracking results are satisfying.