Action Recognition Based on the Feature Trajectories

  • Ji-Xiang Du
  • Kai Yang
  • Chuan-Min Zhai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7390)


In this paper, we proposed an intuitive approach on videos based on the feature trajectories. In contrast to the spatio-temporal interest points, feature trajectories is a more adapted representation and able to benefit from the rich motion information which is described by the HOF. The main contribution of our paper is the combination of the HOG and HOF feature description which represented the shape information and the motion information. We present recognition results on a variety of dataset such as YouTobe and KTH, compared to previous work, the results showed that our algorithm is more efficient and accurate compared with the previous work.


action recognition trajectory features spatio-temporal features HOG HOF 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ji-Xiang Du
    • 1
  • Kai Yang
    • 1
  • Chuan-Min Zhai
    • 1
  1. 1.Department of Computer Science and TechnologyHuaqiao UniversityXiamenChina

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