| Authors |
Donoser Michael, Riemenschneider Hayko, Bischof Horst |
| Appeared in |
Proceedings of International Conference on Pattern Recognition (ICPR), Istanbul, Turkey |
| Date |
2010 |
| Abstract |
Recognizing human actions in video sequences is frequently based on analyzing the shape of the human silhouette as the main feature. In this paper we introduce a method for recognizing different actions by comparing signatures of similarities to pre-defined shape
prototypes. In training, we build a vocabulary of shape prototypes by clustering a training set of human silhouettes and calculate prototype similarity signatures for all training videos. During testing a prototype signature is calculated for the test video and is aligned to each training signature by dynamic time warping. A simple voting scheme over the similarities to the training videos provides action classification results and temporal alignments to the training videos. Experimental evaluation on a reference data set demonstrates that state-of-the-art results are achieved. |
| Link |
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