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Bags of Graphs for Human Action Recognition

  • Xavier Cortés
  • Donatello Conte
  • Hubert Cardot
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11004)

Abstract

Bags of visual words are a well known approach for images classification that also has been used in human action recognition. This model proposes to represent images or videos in a structure referred to as bag of visual words before classifying. The process of representing a video in a bag of visual words is known as the encoding process and is based on mapping the interest points detected in the scene into the new structure by means of a codebook. In this paper we propose to improve the representativeness of this model including the structural relations between the interest points using graph sequences. The proposed model achieves very competitive results for human action recognition and could also be applied to solve graph sequences classification problems.

Notes

Acknowledgments

This work is part of the LUMINEUX project supported by a Region Centre-Val de Loire (France). We gratefully acknowledge Region Centre-Val de Loire for its support.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Xavier Cortés
    • 1
  • Donatello Conte
    • 1
  • Hubert Cardot
    • 1
  1. 1.LiFAT, Université de ToursToursFrance

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