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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
| ASCII Text | x | ||
| Pengyu Hong, Thomas S. Huang, Matthew Turk, "Constructing Finite State Machines for Fast Gesture Recognition," Pattern Recognition, International Conference on, vol. 3, pp. 3695, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000. | |||
| BibTex | x | ||
| @article{ 10.1109/ICPR.2000.903639, author = {Pengyu Hong and Thomas S. Huang and Matthew Turk}, title = {Constructing Finite State Machines for Fast Gesture Recognition}, journal ={Pattern Recognition, International Conference on}, volume = {3}, year = {2000}, isbn = {0-7695-0750-6}, pages = {3695}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903639}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Pattern Recognition, International Conference on TI - Constructing Finite State Machines for Fast Gesture Recognition SN - 0-7695-0750-6 SP EP A1 - Pengyu Hong, A1 - Thomas S. Huang, A1 - Matthew Turk, PY - 2000 VL - 3 JA - Pattern Recognition, International Conference on ER - | |||
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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