Weakly supervised action recognition using implicit shape models
- Publication Type:
- Conference Proceeding
- Proceedings - International Conference on Pattern Recognition, 2010, pp. 3517 - 3520
- Issue Date:
In this paper, we present a robust framework for action recognition in video, that is able to perform competitively against the state-of-the-art methods, yet does not rely on sophisticated background subtraction preprocess to remove background features. In particular, we extend the Implicit Shape Modeling (ISM) of  for object recognition to 3D to integrate local spatiotemporal features, which are produced by a weakly supervised Bayesian kernel filter. Experiments on benchmark datasets (including KTH  and Weizmann ) verifies the effectiveness of our approach. © 2010 IEEE.
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