Skin Region Tracking Using Hybrid Color Model and Gradient Vector Flow

Abstract

The automatic detection and tracking of multiple skin-colored objects in videos plays important roles in human-computer interaction, such as human activity recognition and hand posture recognition. In this paper, we propose a tracking method hybrid with color model and GVF. Hybrid RGB-YCrCb model is applied to detect human skin region. Different skin regions are label by connected component analysis and process the GVF step by step to track the shape of skin regions. We demonstrate the effectiveness and efficiency of this approach by experimenting on several video sequences with hand motion patterns.