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      • Department of Computer Engineering
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      Searching video for complex activities with finite state models

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      Author
      İkizler, Nazlı
      Forsyth, D.
      Date
      2007-06
      Source Title
      Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
      Publisher
      IEEE
      Language
      English
      Type
      Conference Paper
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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. We show results for a large range of queries applied to a collection of complex motion and activity. Our models of short time scale limb behaviour are built using labelled motion capture set. 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 the changes of clothing. © 2007 IEEE.
      Keywords
      Computational methods
      Discriminant analysis
      Mathematical models
      Query languages
      Robust control
      Three dimensional
      Complex activities
      Discriminative methods
      Finite state models
      Motion capture set
      Motion estimation
      Permalink
      http://hdl.handle.net/11693/27091
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/CVPR.2007.383168
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      • Department of Computer Engineering 1368
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