• DocumentCode
    511241
  • Title

    Research on Detection Technique of Multiple Moving Pedestrians in Sequence Image

  • Author

    Lianqiang, Niu ; Shoulin, Liu ; Haiyang, Fu

  • Author_Institution
    Software Inst., Shenyang Univ. of Technol., Shenyang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    25-27 Dec. 2009
  • Firstpage
    38
  • Lastpage
    41
  • Abstract
    This paper proposes one kind of multiple moving pedestrians´ detection and recognition method in the driver assistance system which is based on the computer vision. Firstly, it uses the improved Consecutive Frames Subtraction to establish a background model for sequence images, and unifies Background Subtraction to carry on an effective detection for multiple moving objects, thus obtains the clearer and more complete prospect moving objects. Secondly, it uses the region marking algorithm to demarcate multiple moving objects. Finally, the moving objects are quickly recognized and demarcated according to pedestrian´s Length and breadth ratio character and moving velocity character. The experimental result indicates that this method can detect and recognize the multiple moving pedestrians accurately and fast in the sequence images.
  • Keywords
    computer vision; driver information systems; image motion analysis; image sequences; object detection; object recognition; computer vision; driver assistance system; image sequence; improved consecutive frames subtraction; moving object detection; moving pedestrian detection; moving pedestrian recognition; moving velocity character; multiple moving pedestrians; region marking algorithm; Algorithm design and analysis; Application software; Computer applications; Computer vision; Image recognition; Intelligent vehicles; Object detection; Pixel; Smart cameras; Vehicle detection; Driver assistance system; Moving object detection; Pedestrian recognition; Region marking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-0-7695-3930-0
  • Electronic_ISBN
    978-1-4244-5423-5
  • Type

    conf

  • DOI
    10.1109/IFCSTA.2009.131
  • Filename
    5385009