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International Symposium on Visual Computing

ISVC 2015: Advances in Visual Computing pp 647–656Cite as

Analyzing Activities in Videos Using Latent Dirichlet Allocation and Granger Causality

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9474))

Abstract

We propose an unsupervised method for analyzing motion activities from videos. Our method combines Latent Dirichlet Allocation with Granger Causality to discover the main motions composing the activity as well as to detect how these motions relate to one another in time and space. We tested our method on synthetic and real-world datasets. Our method compares favorably with state-of-the-art methods.

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Author information

Authors and Affiliations

  1. Computer Vision Laboratory, Department of Computer Sciences, Florida Institute of Technology, Melbourne, FL, USA

    Dalwinder Kular & Eraldo Ribeiro

Authors
  1. Dalwinder Kular
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  2. Eraldo Ribeiro
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Corresponding author

Correspondence to Dalwinder Kular .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. University of Houston, Houston, Texas, USA

    Ioannis Pavlidis

  6. IBM T.J. Watson Research Center, Yorktown Heights, New York, USA

    Rogerio Feris

  7. Purdue University, West Lafayette, Indiana, USA

    Tim McGraw

  8. Side Effects Software, Santa Monica, California, USA

    Mark Elendt

  9. The DiVE, Durham, North Carolina, USA

    Regis Kopper

  10. Texas A&M University, College Station, Texas, USA

    Eric Ragan

  11. Kent State University, Kent, Ohio, USA

    Zhao Ye

  12. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Gunther Weber

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Kular, D., Ribeiro, E. (2015). Analyzing Activities in Videos Using Latent Dirichlet Allocation and Granger Causality. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9474. Springer, Cham. https://doi.org/10.1007/978-3-319-27857-5_58

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  • DOI: https://doi.org/10.1007/978-3-319-27857-5_58

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27856-8

  • Online ISBN: 978-3-319-27857-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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