@InProceedings{BhaskarChakraborty2009,
author="Bhaskar Chakraborty
and Andrew Bagdanov
and Jordi Gonzalez",
title="Towards Real-Time Human Action Recognition",
booktitle="4th Iberian Conference on Pattern Recognition and Image Analysis",
year="2009",
publisher="Springer Berlin Heidelberg",
volume="5524",
abstract="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.",
optnote="ISE",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1215), last updated on Fri, 14 Feb 2014 13:20:49 +0100",
isbn="978-3-642-02171-8",
issn="0302-9743",
doi="10.1007/978-3-642-02172-5_55"
}