Augmentation of mean-shift method to facilitate face tracking

Abstract

In this paper we introduce an improvement to the well known mean-shift color tracker. On each new frame we estimate the histogram resolution which provides the best separation between color distributions of the object and the background. The optimal resolution is derived from the principle of minimum uncertainty of foreground/background classification. The augmented mean-shift method with variable histogram resolution was applied to the task of face tracking.