DocumentCode :
3662687
Title :
A global human action, facial and gestures recognition algorithm employing multiple features extraction and CCA
Author :
Ehab H. El-Shazly;Moataz M. Abdelwahab
Author_Institution :
Electronics and Communications Engineering Department, Egypt-Japan University of Science and Technology (E-JUST), Alexandria - Egypt
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, a global algorithm for human action, facial and gesture recognition is presented. The proposed algorithm depends on the extraction of multiple transform domain features and Canonical Correlation Analysis (CCA) for features fusion and classification. The proposed algorithm achieved the best reported results for facial and facial expression recognition. Excellent comparable results were achieved for human action and gesture recognition.
Keywords :
"Feature extraction","Face recognition","Accuracy","Training","Correlation","Testing","Algorithm design and analysis"
Publisher :
ieee
Conference_Titel :
Circuits and Systems (MWSCAS), 2015 IEEE 58th International Midwest Symposium on
Type :
conf
DOI :
10.1109/MWSCAS.2015.7282146
Filename :
7282146
Link To Document :
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