Recognizing actions from still images

  title={Recognizing actions from still images},
  author={Nazli Ikizler and Ramazan Gokberk Cinbis and Selen Pehlivan and Pinar Duygulu Sahin},
  journal={2008 19th International Conference on Pattern Recognition},
In this paper, we approach the problem of understanding human actions from still images. Our method involves representing the pose with a spatial and orientational histogramming of rectangular regions on a parse probability map. We use LDA to obtain a more compact and discriminative feature representation and binary SVMs for classification. Our results over a new dataset collected for this problem show that by using a rectangle histogramming approach, we can discriminate actions to a great… CONTINUE READING
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Computational studies of human motion

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  • Foundations and Trends in Computer Graphics and…
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