Abstract
Recognition of human behaviour is receiving increasing attention in computer vision, and has many useful applications. In this work we investigate how head pose can be exploited to impose contextual constraints for the recognition of gestures. The method is demonstrated in a video conferencing scenario involving three people who use gestures to control the camera and focus of attention.
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S. McKenna and S. Gong. Gesture recognition for visually mediated interaction using probabilistic event trajectories. In British Machine Vision Conference, Southampton, England, September 1998.
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© 1999 Springer-Verlag Berlin Heidelberg
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Sherrah, J., Gong, S. (1999). Exploiting Context in Gesture Recognition. In: Bouquet, P., Benerecetti, M., Serafini, L., Brézillon, P., Castellani, F. (eds) Modeling and Using Context. CONTEXT 1999. Lecture Notes in Computer Science(), vol 1688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48315-2_52
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DOI: https://doi.org/10.1007/3-540-48315-2_52
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