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Variations of a Hough-Voting Action Recognition System

W. Waltisberg and A. Yao and J. Gall and L. Van Gool
Proceedings of the ICPR 2010 Contests
2010

Abstract

This paper presents two variations of a Hough-voting framework used for action recognition and shows classi cation results for low-resolution video and videos depicting human interactions. For low-resolution videos, where people performing actions are around 30 pixels, we adopt low-level features such as gradients and optical flow. For group actions with human-human interactions, we take the probabilistic action labels from the Hough-voting framework for single individuals and combine them into group actions using decision profiles and classifier combination.


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@InProceedings{eth_biwi_00774,
  author = {W. Waltisberg and A. Yao and J. Gall and L. Van Gool},
  title = {Variations of a Hough-Voting Action Recognition System},
  booktitle = {Proceedings of the ICPR 2010 Contests},
  year = {2010},
  keywords = {}
}