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A Multiclass Classifier to Detect Pedestrians and Acquire Their Moving Styles

  • D. Chen
  • X. B. Cao
  • H. Qiao
  • F. Y. Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3975)

Abstract

In a pedestrian detection system, to discover the intention of a pedestrian and warn the driver, it is necessary to obtain the pedestrian’s main moving style. In this paper, an efficient multiclass classifier is presented to detect pedestrians and classify their moving style simultaneously. The multiclass classifier composes of three two-class classifiers and each of them is trained with a SVM algorithm. Experiments based on a single camera pedestrian detection system show that the multiclass classifier has an acceptable detection rate; at the same time, it can judge whether a pedestrian is walking along the road or across the road.

Keywords

Single Classifier Intelligent Transportation System Intelligent Vehicle Multiclass Classification Moving Style 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • D. Chen
    • 1
    • 2
  • X. B. Cao
    • 1
    • 2
  • H. Qiao
    • 3
  • F. Y. Wang
    • 3
  1. 1.Department of Computer Science and TechnologyUniversity of Science and Technology of ChinaHefeiP.R. China
  2. 2.Anhui Province Key Laboratory of Software in Computing and CommunicationHefeiP.R. China
  3. 3.Institute of AutomationChinese Academy of SciencesBeijingP.R. China

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