• DocumentCode
    2051352
  • Title

    Bicycle detection using pedaling movement by spatiotemporal Gabor filtering

  • Author

    Takahashi, Kazuyuki ; Kuriya, Yasutaka ; Morie, Takashi

  • Author_Institution
    Grad. Sch. of Life Sci. & Syst. Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
  • fYear
    2010
  • fDate
    21-24 Nov. 2010
  • Firstpage
    918
  • Lastpage
    922
  • Abstract
    This paper proposes an algorithm for detecting bicycles on the road from a sequence of images acquired by a stationary video camera. This algorithm is suitable for monitoring the traffic situation for safety, our algorithm includes shape-based object detection using HOG and SVM and relative motion detection for leg movements in bicycle pedaling. The leg movement, which can be achieved by using spatiotemporal 3D Gabor filtering, can discriminate bicycles from similar objects such as motorbikes.
  • Keywords
    Gabor filters; image sequences; motion estimation; object detection; support vector machines; traffic information systems; video cameras; video surveillance; HOG; SVM; bicycle detection; images sequence; leg movements; motion detection; pedaling movement; shape-based object detection; spatiotemporal Gabor filtering; stationary video camera; traffic monitoring; bicycle detection; relative motion; spatiotemporal Gabor filter; video surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2010 - 2010 IEEE Region 10 Conference
  • Conference_Location
    Fukuoka
  • ISSN
    pending
  • Print_ISBN
    978-1-4244-6889-8
  • Type

    conf

  • DOI
    10.1109/TENCON.2010.5686551
  • Filename
    5686551