%0 Conference Proceedings
%T Towards Real-Time Human Action Recognition
%A Bhaskar Chakraborty
%A Andrew Bagdanov
%A Jordi Gonzalez
%B 4th Iberian Conference on Pattern Recognition and Image Analysis
%D 2009
%V 5524
%I Springer Berlin Heidelberg
%@ 0302-9743
%@ 978-3-642-02171-8
%F Bhaskar Chakraborty2009
%O ISE
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1215), last updated on Fri, 14 Feb 2014 13:20:49 +0100
%X This work presents a novel approach to human detection based action-recognition in real-time. To realize this goal our method first detects humans in different poses using a correlation-based approach. Recognition of actions is done afterward based on the change of the angular values subtended by various body parts. Real-time human detection and action recognition are very challenging, and most state-of-the-art approaches employ complex feature extraction and classification techniques, which ultimately becomes a handicap for real-time recognition. Our correlation-based method, on the other hand, is computationally efficient and uses very simple gradient-based features. For action recognition angular features of body parts are extracted using a skeleton technique. Results for action recognition are comparable with the present state-of-the-art.
%U http://dx.doi.org/10.1007/978-3-642-02172-5_55