Detecting and Tracking People in a Homogeneous Environment Using Skin Color Model

Abstract

The task of correctly identifying and tracking people in a shadow environment for understanding the group dynamics is of paramount importance in many vision systems. This work presents a real time system for detecting and tracking people, in an environment where, people have similar attire. The proposed frame work contains shadow removal in HSV color space, detection through occlusion, person identification by developing skin color model and tracking by extracting image features. Experimental results illustrate that the proposed approach works robustly in homogeneous environment.