Motion Tracking Based on Background Color Rejective Centroids Shifting
Euncheol Choi, Jong Hyun Park, Moon Gi Kang · ICEIC : International Conference on Electronics, Informations and Communications · 2008
In this paper, we propose a new tracking algorithm : the weighted mean of the centroids corresponding to each color bin of the target. The weight is determined by the area of the color bins and background colors. The tracking based on proposed model contains spatial information on the distribution of the colors, is rather insensitive to the loss of pixels and change in the number of pixels, and takes the colors into account according to the area they cover in the initial target region. Due to these properties, it possible to track the target in difficult conditions such as low-frame-rate environment, severe partial occlusion and partial color change environment. Furthermore, the target position estimation is executed in a one step computation, which makes the algorithm fast. We compare the stableness of the proposed tracking scheme with the conventional mean shift algorithm experimentally.