Particle Filter Based on Color Feature with Contour Information Adaptively Integrated for Object Tracking

Abstract

Particle filter is a probabilistic multi-hypothesis algorithm under the Bayesian framework. In order to establish a robust observing model, in this paper, a novel method which uses a more effective color feature with contour information integrated adaptively is proposed. Experimental results verified that, our approach was efficient.