Real-time multiple-person tracking system

Tracking human faces is an indispensable process in security access control and automatic video surveillance systems. In this paper, we propose a real-time multiple-person tracking system. Firstly, both skin colour and motion components are extracted to generate face-like regions. Those regions regarded as face candidates are further processed by a silhouette analyser to redefine their boundary and verified by our rule-based verification algorithm. Finally a simple method which utilizes the relationship of skin colour and face history is applied to track multiple persons. Experimental results demonstrate that both the accuracy and processing speed are very promising and can be applied for practical use.