• DocumentCode
    1606740
  • Title

    Estimation of the Pedestrians on a Crosswalk

  • Author

    Lin, Sheng-Fuu ; Lin, Chi-De

  • Author_Institution
    Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu
  • fYear
    2006
  • Firstpage
    4931
  • Lastpage
    4936
  • Abstract
    The estimation of the pedestrians on a crosswalk is a challenging job due to the occluded pedestrians and its complicated background. Here, an efficient method to estimate approximately the number of pedestrians on a crosswalk is presented. Foregrounds are extracted from an incoming image by using the constructed background, and then elaborately processing to remove unwanted pixels. With the aid of perspective transformation, the relation between the number of remaining foreground pixels and the number of pedestrians can be linearized, thus the estimation can be done. Instead of segmenting each pedestrian in the scene, our system counts foreground pixels, so it demands low computational power. Furthermore, this system doesn´t need to be trained. The experimental results show that it works well in different scenes
  • Keywords
    automated highways; computer vision; feature extraction; image colour analysis; image segmentation; road traffic; road vehicles; computer vision; crosswalk; foreground extraction; image colour analysis; image segmentation; pedestrian estimation; Calibration; Cameras; Data mining; Flowcharts; Intelligent transportation systems; Layout; Monitoring; Pixel; Support vector machine classification; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE-ICASE, 2006. International Joint Conference
  • Conference_Location
    Busan
  • Print_ISBN
    89-950038-4-7
  • Electronic_ISBN
    89-950038-5-5
  • Type

    conf

  • DOI
    10.1109/SICE.2006.314851
  • Filename
    4108557