Discriminative key pose extraction using extended LC-KSVD for action recognition



Publication Details

Zhou, L., Li, W., Zhang, Y., Ogunbona, P. O., Nguyen, D. & Zhang, H. (2014). Discriminative dey pose extraction using extended LC-KSVD for action recognition. 2014 International Conference on digital Image Computing: Techniques and Applications (DICTA 2014) (pp. 1-8). United States: Institute of Electrical and Electronics Engineers.


This paper presents a method for extracting discriminative key poses for skeleton-based action recognition. Poses are represented by normalized joint locations, velocities and accelerations of skeleton joints. An extended label consistent K-SVD (ELC-KSVD) algorithm is proposed for learning the common and action-specific dictionaries. Discriminative key poses are represented by the atoms of the action-specific dictionaries. With the specific dictionaries, sparse codes are obtained for representing action instances through max pooling and temporal pyramid. A SVM classifier is trained for action recognition. The proposed method was evaluated on the MSRC-12 gesture and MSR-Action 3D datasets. Experimental results have shown that the proposed method is effective in extracting discriminative key poses.

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