Adaptive Template Rotation for Mean-shift Tracking

The mean-shift algorithm is an efficient technique for tracking 2D target through an image. The classic mean-shift algorithm has a fixed spatial template. Therefore, the tracking result is affected by changes of the tracked object. This paper presents an adaptive template modification strategy which overcomes the influence. The proposed method adjusts adaptively template orientation during the mean shift procedure according to the analysis of the moments of the tracked target. Therefore, the tracker has the ability to handle target rotation. Experimental results demonstrate its effectiveness.