Parametric Hidden Markov Models for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hidden Markov models for modeling and recognizing gesture under variation
Hidden Markov models
Interpretation of Pointing Gestures: The PoG System
GW '99 Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction
Detecting, Tracking, and Interpretation of a Pointing Gesture by an Overhead View Camera
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
Nonlinear PHMMs for the Interpretation of Parameterized Gesture
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Combining pointing gestures with video avatars for remote collaboration
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
GARGOYLE: an environment for real-time, context-sensitive active vision
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Real-time pointing gesture recognition for an immersive environment
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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We present Perseus, a purposive visual system used by our robot, CHIP, to locate objects being pointed at by people. Perseus uses knowledge about the task and environment at all levels of processing to more accurately and efficiently perform visual tasks.