• DocumentCode
    400139
  • Title

    Vehicle detection from three line scanner image

  • Author

    Puntavungkour, Sompoch ; Shibasaki, Roysuke

  • Author_Institution
    Center for Spatial Inf. Sci., Tokyo Univ., Japan
  • Volume
    1
  • fYear
    2003
  • fDate
    12-15 Oct. 2003
  • Firstpage
    785
  • Abstract
    Nowadays, traffic jam becomes severe rapidly. Therefore we presented the algorithms of vehicle monitoring from Three Line Scanner Imagery. In our contribution, the framework consists of three steps: vehicle detection, moving/ parking vehicle discrimination and vehicle parking identification. Now we focus on vehicle detection by Nadir-Single TLS images. We applied Explicit Model Approach. Firstly, segmented image is created by region and non-vehicle regions are removed We detect the cue of Vehicle from the raw image and generate vehicle candidate from vehicle likely region from segmented image by frame detector expansion technique secondly. At the last step, vehicle in the image have been verified detected by vehicle model matching. Finally, the promising results is shown and listed in this study.
  • Keywords
    helicopters; image segmentation; object detection; road vehicles; transportation; Nadir-Single TLS images; TLS imagery; frame detector expansion technique; image segmentation; moving vehicle discrimination; parking vehicle discrimination; parking vehicle identification; three line scanner imagery; vehicle detection; vehicle model matching; vehicle monitoring system; Cities and towns; High-resolution imaging; Image segmentation; Intelligent sensors; Intelligent transportation systems; Monitoring; Robustness; Traffic control; Vehicle detection; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
  • Print_ISBN
    0-7803-8125-4
  • Type

    conf

  • DOI
    10.1109/ITSC.2003.1252057
  • Filename
    1252057