Learning person-object interactions for action recognition in still images

@inproceedings{Delaitre2011LearningPI,
  title={Learning person-object interactions for action recognition in still images},
  author={Vincent Delaitre and Josef Sivic and Ivan Laptev},
  booktitle={NIPS},
  year={2011}
}
We investigate a discriminatively trained model of person-object interactions for recognizing common human actions in still images. We build on the locally order-less spatial pyramid bag-of-features model, which was shown to perform extremely well on a range of object, scene and human action recognition tasks. We introduce three principal contributions. First, we replace the standard quantized local HOG/SIFT features with stronger discriminatively trained body part and object detectors. Second… CONTINUE READING
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