DocumentCode :
2085573
Title :
Face and hand gesture recognition using hybrid classifiers
Author :
Gutta, Srinivas ; Huang, Jeffrey ; Imam, Ibrahim F. ; Wechsler, Harry
Author_Institution :
Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA
fYear :
1996
fDate :
14-16 Oct 1996
Firstpage :
164
Lastpage :
169
Abstract :
This paper advances the methodology of hybrid classification architectures for face and hand gesture recognition tasks and shows their feasibility through experimental studies using the FERET data base and gesture images. The hybrid architecture, consisting of an ensemble of connectionist networks-radial basis functions (RBF)-and inductive decision trees (DT), combines the merits of `holistic´ template matching with those of `abstractive´ matching using discrete features and subject to both positive and negative learning. The hybrid architecture, quite general as it applies to both face and hand gesture recognition, derives its robustness from (i) consensus using ensembles of RBF network;, and (ii) flexible matching using categorical classification via decision trees. The experimental results, proving the feasibility of our approach, yield (i) 93% accuracy, using cross validation, for contents-based image retrieval (CBIR) subject to correct ID matching tasks, such as `find Joe Smith with/without glasses´, on a data bate of 200 images, and (ii) 96% accuracy using cross validation, for forensic verification on a data base consisting of 102 images corresponding to 350 subjects (of whom 102 are duplicates). Cross validation results on the hand gesture recognition task yield a false negative rate of 3.6% and a false positive rate of 1.8%, using a data base of 750 images corresponding to 25 hand gestures
Keywords :
decision theory; face recognition; feedforward neural nets; image classification; FERET data base; categorical classification; connectionist networks; contents-based image retrieval; decision trees; face recognition; gesture images; hand gesture recognition; hybrid architecture; hybrid classifiers; inductive decision trees; radial basis functions; template matching; Classification tree analysis; Content based retrieval; Decision trees; Face recognition; Glass; Image recognition; Image retrieval; Information retrieval; Radial basis function networks; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on
Conference_Location :
Killington, VT
Print_ISBN :
0-8186-7713-9
Type :
conf
DOI :
10.1109/AFGR.1996.557259
Filename :
557259
Link To Document :
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