• DocumentCode
    2633078
  • Title

    A near-infrared imaging method for capturing the interior of a vehicle through windshield

  • Author

    Hao, Xiaoli ; Chen, Houjin ; Yao, Chang ; Yang, Na ; Bi, Hongjun ; Wang, Changli

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2010
  • fDate
    23-25 May 2010
  • Firstpage
    109
  • Lastpage
    112
  • Abstract
    We investigate a near-infrared (NIR) imaging method for capturing the interior of vehicles, the purpose of which is to automatically monitor and count vehicle occupants. The proposed NIR imaging method can effectively deal with the challenge due to windshield reflection and operate during both day and night. Our goal is to improve the clarity of the captured image of the vehicle interior under these adverse conditions, in order to facilitate the task of monitoring and counting of vehicle occupants either by human screeners or by pattern recognition algorithms. The NIR imaging approach is demonstrated with numerical results in our experiments.
  • Keywords
    Automotive components; Cameras; Face detection; Glass; Humans; Licenses; Optical imaging; Optical reflection; Transportation; Vehicle detection; face detection; high occupancy vehicle (HOV); near-infrared imaging; occupants detection; windshield reflection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis & Interpretation (SSIAI), 2010 IEEE Southwest Symposium on
  • Conference_Location
    Austin, TX, USA
  • Print_ISBN
    978-1-4244-7801-9
  • Type

    conf

  • DOI
    10.1109/SSIAI.2010.5483907
  • Filename
    5483907