• 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