• DocumentCode
    2552466
  • Title

    An Approach to On-Road Vehicle Detection, Description and Tracking

  • Author

    Chumerin, Nikolay ; Van Hulle, Marc M.

  • Author_Institution
    K.U.Leuven, Leuven
  • fYear
    2007
  • fDate
    27-29 Aug. 2007
  • Firstpage
    265
  • Lastpage
    269
  • Abstract
    We present an approach to detecting independently moving objects (IMOs) in stereo video sequences acquired by onboard cameras on a moving vehicle. The proposed approach is based on the processing of two independent information streams: an independent motion detection stream and an object recognition stream. Fusion of these streams outputs allows our system to segment IMOs, track them, and even estimate some of their properties.
  • Keywords
    image fusion; image segmentation; image sequences; motion estimation; object recognition; optical tracking; road vehicles; stereo image processing; traffic engineering computing; video signal processing; image fusion; image segmentation; independently moving object detection; object recognition stream; on-road vehicle motion detection; onboard camera; optical tracking; stereo video sequence; Cameras; Convolution; Image motion analysis; Kernel; Motion detection; Object detection; Object recognition; Streaming media; Vehicle detection; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning for Signal Processing, 2007 IEEE Workshop on
  • Conference_Location
    Thessaloniki
  • ISSN
    1551-2541
  • Print_ISBN
    978-1-4244-1566-3
  • Electronic_ISBN
    1551-2541
  • Type

    conf

  • DOI
    10.1109/MLSP.2007.4414317
  • Filename
    4414317