Research On Tracking Target Based On Mean Shift Framework

The tracking technology of moving target is an important part of computer vision, it has important research value and significance in the moving object tracking, motion understanding and trajectory of discovery. It has broad application prospects in the fields of security monitoring, business intelligence, traffic monitoring, medical applications, biological search, virtual reality and many other applications.In this paper, it is researched about the tracking algorithm of moving target based on the algorithm of Mean Shift (abbreviated as MS). In order to solve the existing problems of the MS, this paper studies on the aspects of the feature of target tracking template representation, the problem of updating template and the method of adaptive scale, and proposes improvements and innovative approaches, obtains a better tracking performance. The major innovations of this paper are as follows:1. This paper presents a target tracking algorithm based on MS merged by simplified Uniform Pattern and color feature. Considering that the feature of target tracking template representation is too single and structure information is missing when using color description, this paper designs a simplified Uniform Pattern combining advantages of Uniform Pattern and minor pattern of micro structure, reserves dimensionality reduction characteristic of LBP Uniform Pattern, and deletes minor patterns which have a little effect on recognition accuracy when using micro structure pattern, experimental results show that the algorithm in this paper can extend tracking time, reduce errors of the drifting center position and improve the target tracking accuracy.2. This paper presents a target tracking algorithm under the MS framework based on the online updating target template. Considering that the problem of the losing object tracking, causing by the drifting target template and occlusion in the cluttered dynamical background, this paper designs an online updating algorithm based on linear weighted updating template and anti-occlusion target template, effectively assigns weights and predicts occlusion by fragments. Experimental results show that the algorithm in this paper can adjust or update template timely and achieve the goal of improving the accuracy of object templates.3. This paper presents a MS target tracking algorithm with scale adaptation. Considering that MS algorithm is short of scale adaptation strategy, this paper designs a scale revised adaptation algorithm which regard weighting factor as scale. the method uses image weighting factor, target window and the correlation of the Bhattacharyya coefficient, converts image weighting factor for the problem of resolving target area, and it also consider the trend of target scale change. Experimental results show that the algorithm in this paper can adapted the target scale change better.