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      • Department of Computer Engineering
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      Searching for complex human activities with no visual examples

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      Author
      Ikizler, N.
      Forsyth, D.A.
      Date
      2008
      Source Title
      International Journal of Computer Vision
      Print ISSN
      0920-5691
      Volume
      80
      Issue
      3
      Pages
      337 - 357
      Language
      English
      Type
      Article
      Item Usage Stats
      119
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      115
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      Abstract
      We describe a method of representing human activities that allows a collection of motions to be queried without examples, using a simple and effective query language. Our approach is based on units of activity at segments of the body, that can be composed across space and across the body to produce complex queries. The presence of search units is inferred automatically by tracking the body, lifting the tracks to 3D and comparing to models trained using motion capture data. Our models of short time scale limb behaviour are built using labelled motion capture set. We show results for a large range of queries applied to a collection of complex motion and activity. We compare with discriminative methods applied to tracker data; our method offers significantly improved performance. We show experimental evidence that our method is robust to view direction and is unaffected by some important changes of clothing. © 2008 Springer Science+Business Media, LLC.
      Keywords
      Activity
      HMM
      Human action recognition
      Motion capture
      Video retrieval
      Chlorine compounds
      Query languages
      Activity
      Complex motions
      Complex queries
      Discriminative methods
      Experimental evidence
      HMM
      Human action recognition
      Human activities
      Improved performance
      Large range
      Motion capture
      Motion capture data
      Short time
      Video retrieval
      Three dimensional
      Permalink
      http://hdl.handle.net/11693/22954
      Published Version (Please cite this version)
      http://dx.doi.org/10.1007/s11263-008-0142-8
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      • Department of Computer Engineering 1368
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