• DocumentCode
    3216187
  • Title

    What can we learn from accident videos?

  • Author

    Dopfer, Andreas ; Chieh-Chih Wang

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2013
  • fDate
    2-4 Dec. 2013
  • Firstpage
    68
  • Lastpage
    73
  • Abstract
    A recent rise of windshield mounted cameras in cars has given access to large amount of videos from real world traffic accidents. This paper aims to analyze what can be learned from that video data using current state-of-the-art computer vision techniques. We also discuss what is currently missing to fully understand these videos. A substantial number of accident sequences has been acquired and manually evaluated for this analysis. The ability to fully automatically analyze large numbers of traffic accidents from videos will allow to identify potentially dangerous traffic scenarios, improve driving safety and driver warning systems.
  • Keywords
    computer vision; image sequences; road accidents; road safety; video signal processing; accident video; computer vision technique; driver warning system; driving safety system; traffic accident; video data; windshield mounted camera; Accidents; Cameras; Feature extraction; Image reconstruction; Motorcycles; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Control Conference (CACS), 2013 CACS International
  • Conference_Location
    Nantou
  • Print_ISBN
    978-1-4799-2384-7
  • Type

    conf

  • DOI
    10.1109/CACS.2013.6734109
  • Filename
    6734109