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      • Department of Computer Engineering
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      Human action recognition using distribution of oriented rectangular patches

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      Author(s)
      İkizler, Nazlı
      Duygulu, Pınar
      Date
      2007-10
      Source Title
      Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animatio, 2007
      Publisher
      Springer
      Pages
      271 - 284
      Language
      English
      Type
      Conference Paper
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      Abstract
      We describe a "bag-of-rectangles" method for representing and recognizing human actions in videos. In this method, each human pose in an action sequence is represented by oriented rectangular patches extracted over the whole body. Then, spatial oriented histograms are formed to represent the distribution of these rectangular patches. In order to carry the information from the spatial domain described by the bag-of-rectangles descriptor to temporal domain for recognition of the actions, four different methods are proposed. These are namely, (i) frame by frame voting, which recognizes the actions by matching the descriptors of each frame, (ii) global histogramming, which extends the idea of Motion Energy Image proposed by Bobick and Davis by rectangular patches, (iii) a classifier based approach using SVMs, and (iv) adaptation of Dynamic Time Warping on the temporal representation of the descriptor. The detailed experiments are carried out on the action dataset of Blank et. al. High success rates (100%) prove that with a very simple and compact representation, we can achieve robust recognition of human actions, compared to complex representations. © Springer-Verlag Berlin Heidelberg 2007.
      Keywords
      Data reduction
      Data structures
      Image analysis
      Image reconstruction
      Support vector machines
      Rectangular patches
      Spatial domains
      Spatial oriented histograms
      Gesture recognition
      Permalink
      http://hdl.handle.net/11693/26976
      Published Version (Please cite this version)
      https://link.springer.com/chapter/10.1007/978-3-540-75703-0_19
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      • Department of Computer Engineering 1435
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