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15th International Conference on Pattern Recognition (ICPR'00) - Volume 3
Constructing Finite State Machines for Fast Gesture Recognition
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
Pengyu Hong, University of Illinois at Urbana-Champaign
Thomas S. Huang, University of Illinois at Urbana-Champaign
Matthew Turk, Microsoft Cooperation
This paper proposes an approach to 2D gesture recognition that models each gesture as a Finite State Machine (FSM) in the spatial-temporal space. The model construction works in a semi-automatic way. The structure of the model is first manually decided based on the observation of the spatial topology of the data. The model is refined iteratively between two stages: data segmentation and model training. We incorporate a modified Knuth-Morris-Pratt algorithm into FSM recognition procedure to speed up the gesture recognition. The computational efficiency of the FSM recognizers allows real-time on-line performance to be achieved.
Citation:
Pengyu Hong, Thomas S. Huang, Matthew Turk, "Constructing Finite State Machines for Fast Gesture Recognition," icpr, vol. 3, pp.3695, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
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