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      A line based pose representation for human action recognition

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      Author(s)
      Baysal, S.
      Duygulu, P.
      Date
      2013
      Source Title
      Signal Processing: Image Communication: theory, techniques & applications
      Print ISSN
      0923-5965
      Volume
      28
      Issue
      5
      Pages
      458 - 471
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      In this paper, we utilize a line based pose representation to recognize human actions in videos. We represent the pose in each frame by employing a collection of line-pairs, so that limb and joint movements are better described and the geometrical relationships among the lines forming the human figure are captured. We contribute to the literature by proposing a new method that matches line-pairs of two poses to compute the similarity between them. Moreover, to encapsulate the global motion information of a pose sequence, we introduce line-flow histograms, which are extracted by matching line segments in consecutive frames. Experimental results on Weizmann and KTH datasets emphasize the power of our pose representation, and show the effectiveness of using pose ordering and line-flow histograms together in grasping the nature of an action and distinguishing one from the others. © 2013 Elsevier B.V. All rights reserved.
      Keywords
      Action recognition
      Human motion
      Line - flow
      Pose matching
      Pose similarity
      Gesture recognition
      Graphic methods
      Image recognition
      Motion estimation
      Permalink
      http://hdl.handle.net/11693/20987
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.image.2013.01.005
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      • Department of Computer Engineering 1435
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