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Conference Papers Year : 2010

Human activities discrimination with motion approximation in polynomial bases

Olivier Kihl
  • Function : Author
  • PersonId : 921222
SIC
Benoit Tremblais
SIC
Bertrand Augereau
  • Function : Author
  • PersonId : 915595
SIC
Majdi Khoudeir
  • Function : Author
  • PersonId : 856298
SIC

Abstract

In this paper we propose a new descriptor for human motion analysis. We try to recognize human motion represented by sequence of vector fields which are obtained with optical flow. Our method is based on an efficient measure of the similarity between two vector fields. This measure depends on the approximation of vector fields using projection onto a polynomial basis. From this similarity measure, we can retrieve a vector field within video sequences. As we consider a human motion as a sequence of vector fields, we use a simple algorithm in order to recognize motion. The results of the motion recognition system are shown for five boxing motions.
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Dates and versions

hal-00594762 , version 1 (20-05-2011)

Identifiers

  • HAL Id : hal-00594762 , version 1

Cite

Olivier Kihl, Benoit Tremblais, Bertrand Augereau, Majdi Khoudeir. Human activities discrimination with motion approximation in polynomial bases. International Conference on Image Processing (ICIP) 2010, Sep 2010, Hong-Kong, China. pp.2469-2472. ⟨hal-00594762⟩
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