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LAFTER: Lips and Face Real Time Tracker with Facial Expression Recognition

This paper describes an active-camera real-time system for tracking, shape description, and classiication of the human face and mouth expressions using only a PC or equivalent computer. The system is based on use of 2-D blob features, which are spatially-compact clusters of pixels that are similar in terms of low-level image properties. Patterns of behavior (e.g., facial expressions and head movements) can be clas-siied in real-time using Hidden Markov Models (HMMs). The system has been tested on hundreds of users and has demonstrated extremely reliable and accurate performance. Typical facial expression classiication accuracies are near 100%.