A system of systems approach in face feature tracking for real time applications

Face feature tracking in real-time conditions is one of the most challenging problems in the field of computer vision. A completely new approach using ”System of Systems” Model has been developed for feature tracking. A system of robust and intelligent tracking systems has been presented. A multi stage Hierarchical Quality Monitoring and Recovery Network has been developed, which makes the tracking process much more robust and efficient in fluctuating conditions. An effective system re-initialization model has also been developed. The system is capable of self failure detection and recovery at all possible levels, local to global. The experimental results show that the proposed system can work efficiently in real time situations. The system has potential applications in fields like Human-Computer Interactions, entertainment, animation industry, medical studies, etc.