TY - JOUR
T1 - Extension of hidden markov models to deal with multiple candidates of observations and its application to mobile-robot-oriented gesture recognition
AU - Sato, Yosuke
AU - Kobayashi, Tetsunori
PY - 2002
Y1 - 2002
N2 - We propose a modified Hidden Markov Model (HMM) with a view to improving gesture recognition in the moving camera condition. We define a new gesture recognition framework in which multiple candidates of feature vectors are generated with confidence measures and the HMM is extended to deal with these multiple feature vectors. Experimental analysis comparing the proposed system with feature vectors based on DCT and the method of selecting only one candidate feature point verify the effectiveness of the technique.
AB - We propose a modified Hidden Markov Model (HMM) with a view to improving gesture recognition in the moving camera condition. We define a new gesture recognition framework in which multiple candidates of feature vectors are generated with confidence measures and the HMM is extended to deal with these multiple feature vectors. Experimental analysis comparing the proposed system with feature vectors based on DCT and the method of selecting only one candidate feature point verify the effectiveness of the technique.
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U2 - 10.1109/ICPR.2002.1048351
DO - 10.1109/ICPR.2002.1048351
M3 - Article
AN - SCOPUS:33751559701
SN - 1051-4651
VL - 16
SP - 515
EP - 519
JO - Proceedings - International Conference on Pattern Recognition
JF - Proceedings - International Conference on Pattern Recognition
IS - 2
ER -