Three-dimensional face pose detection and tracking using monocular videos: tool and application
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Application of feature tracking in a vision based human machine interface for XBOX
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
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Head gestures such as nodding and shaking are often used as one of human body languages for communication with each other, and their recognition plays an important role in the advancement of human-computer interaction. As head gesture is the continuous motion on the sequential time series, the key problems of recognition are to track multi-view head and understand the head pose switch. This paper presents a novel approach to recognize the nod and shake in the interactive computer environment. First, head poses are detected by multi-view model(MVM) and then Hidden Markov Model(HMM) are used as head gesture statistic inference model for gesture recognition. Experimental results show that the approach is effective and real time.