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      • Department of Computer Engineering
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      Pose sentences: a new representation for action recognition using sequence of pose words

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      Author
      Hatun, Kardelen
      Duygulu, Pınar
      Date
      2008-12
      Source Title
      19th International Conference on Pattern Recognition, 2008
      Publisher
      IEEE
      Language
      English
      Type
      Conference Paper
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      Abstract
      We propose a method for recognizing human actions in videos. Inspired from the recent bag-of-words approaches, we represent actions as documents consisting of words, where a word refers to the pose in a frame. Histogram of oriented gradients (HOG) features are used to describe poses, which are then vector quantized to obtain pose-words. As an alternative to bagof- words approaches, that only represent actions as a collection of words by discarding the temporal characteristics of actions, we represent videos as ordered sequence of pose-words, that is as pose sentences. Then, string matching techniques are exploited to find the similarity of two action sequences. In the experiments, performed on data set of Blank et al., 92% performance is obtained. © 2008 IEEE.
      Keywords
      A-frames
      Action recognition
      Action sequences
      Bag of words
      Data sets
      Human actions
      String matching
      Temporal characteristics
      Image recognition
      Permalink
      http://hdl.handle.net/11693/26769
      Published Version (Please cite this version)
      https://doi.org/10.1109/ICPR.2008.4761702
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      • Department of Computer Engineering 1368
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