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Fast Pedestrian Detection Using Color Information

  • Y. W. Xu
  • 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, the application of color information can increase the detection rate; however, the detection speed will be slowed down a lot. This paper presents a fast pedestrian detection method using color information. It firstly scans a pair of sequential gray-scale frames to select candidates using both appearance and motion features; and then uses information of each color channel (RGB) to do a further confirmation with support vector machine based classifiers. Compared with pedestrian detection systems that only use gray-scale information, the system using our method has almost the same detection speed; at the same time, it also gets a better detection rate and false-positive rate. The experiment in a pedestrian detection system with a single optical camera proves the effectiveness of our method.

Keywords

Support Vector Machine False Positive Rate Support Vector Machine Classifier Color Information Color Channel 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Y. W. Xu
    • 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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