TY  - CONF
AU  - Bhaskar Chakraborty
AU  - Andrew Bagdanov
AU  - Jordi Gonzalez
A2  - IbPRIA
PY  - 2009//
TI  - Towards Real-Time Human Action Recognition
T2  - LNCS
BT  - 4th Iberian Conference on Pattern Recognition and Image Analysis
VL  - 5524
PB  - Springer Berlin Heidelberg
N2  - 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.
SN  - 0302-9743
SN  - 978-3-642-02171-8
UR  - http://dx.doi.org/10.1007/978-3-642-02172-5_55
N1  - ISE
ID  - Bhaskar Chakraborty2009
ER  -