Video Object Tracking Based On Extended Active Shape Models With Color Information

Abstract

Tracking and recognizing non-rigid objects in video image sequences are complex tasks of increa sing importance to many applications. For the tracking of such objects in a video sequence e.g. “active shape models” can be applied. The existing active shape models are usually based on intensity information and they do not consider color information. However, active shape models are sensitive to outliers, especially in the case of partial object occlusions. In this paper, we present an extension of the active shape model for color images and we examine to what extent the use of color information can contribute to the solution of the outlier problem.