• DocumentCode
    2237032
  • Title

    A pedestrian detection method based on Dirichlet distribution and histogram of components

  • Author

    Xu Li ; Xiaoru Wang ; Jia Long ; Lingpu Gong

  • Author_Institution
    Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 1 2012
  • Firstpage
    956
  • Lastpage
    960
  • Abstract
    Pedestrian detection is a hot topic in computer vision recently. It is a challenging issue to detect the pedestrian in images accurately and quickly. In this paper, we propose a quick and accurate pedestrian detection method based on Dirichlet distribution and histogram of components. This method can find out the pedestrian in images accurately. Because of the introduction of Dirichlet distribution and histogram of components, our method reduces the time cost on detecting pedestrian. The experiment also showed that it can detect the pedestrian sheltered from other object or in the complicated background.
  • Keywords
    computer vision; object detection; statistical analysis; Dirichlet distribution; computer vision; histogram-of-components; pedestrian detection method; time cost reduction; Detectors; Dictionaries; Feature extraction; Head; Histograms; Support vector machines; Training; Bag-of-words; Component; Dirichlet distribution; Pedestrian detection; SVM classifier; Sift;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-1855-6
  • Type

    conf

  • DOI
    10.1109/CCIS.2012.6664318
  • Filename
    6664318