Spatio-temporal Shape and Flow Correlation for Action Recognition

@article{Ke2007SpatiotemporalSA,
  title={Spatio-temporal Shape and Flow Correlation for Action Recognition},
  author={Yan Ke and Rahul Sukthankar and Martial Hebert},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2007},
  pages={1-8}
}
This paper explores the use of volumetric features for action recognition. First, we propose a novel method to correlate spatio-temporal shapes to video clips that have been automatically segmented. Our method works on over-segmented videos, which means that we do not require background subtraction for reliable object segmentation. Next, we discuss and demonstrate the complementary nature of shape- and flow-based features for action recognition. Our method, when combined with a recent flow… CONTINUE READING
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