关键词: 目标跟踪, 尺度自适应, 方向自适应, 块匹配

Abstract: In the video sequence image tracking, the scale and motion direction of the tracking object relative to background are changing in real time, the traditional tracking algorithm will cause deviation of the scale and direction, leading to tracking drift, even bring about the failure of tracking, so an adaptive scale and direction object tracking method is proposed. In the framework of Kalman filtering, the object motion is modeled by transforming the minimum bounding rectangle information of the moving object into Kalman filter parameters. The two step block matching search method based on the minimum bounding rectangle is used to position the center of the object and then the incremental search matching method is adopted to update the object scale and direction according to the criterion of optimal scale and direction. By dynamically evaluating the confidence of different object models in different tracking scenarios, the object model is updated dynamically. Using public video sequence to test, the experimental results verify the effectiveness of the proposed method.

Key words: object tracking, scale adaptation, direction adaptation, block matching