• DocumentCode
    607334
  • Title

    Pedestrian detection for automotive night vision using thermal camera

  • Author

    Rajemi, S.Z.B. ; Hamid, Rosyati ; Naim, Faradila ; Arshad, Nurul Wahidah

  • Author_Institution
    Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Pekan, Malaysia
  • fYear
    2012
  • fDate
    3-5 Dec. 2012
  • Firstpage
    694
  • Lastpage
    698
  • Abstract
    The sudden appearance of pedestrian is a major worry for the driver especially during night time since it may lead to an accident due to poor human eyesight at night. To overcome the problem, a pedestrian detection for automotive night vision is introduced. The analysis is done based on the distance, size and clothing. There are four condition has been taken into consideration that are with average weight of 40 to 50 kg with wearing hijab and without hijab, and to the average weight of 60 to 70 kg wearing hijab and without hijab. The first and second condition have 0% error for emitting the first and second warning while the third condition has 9.3% error during first warning and 0% error for second warning. The fourth condition has 23.5% error for the first warning and 0% error for the second warning.
  • Keywords
    accident prevention; cameras; infrared imaging; night vision; object detection; pedestrians; automotive night vision; clothing-based analysis; distance-based analysis; hijab wearing; human eyesight; night time; pedestrian detection; size-based analysis; thermal camera; color thresholding; morphological operation; night vision; pedestrian detection; thermal camera;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-0894-6
  • Type

    conf

  • Filename
    6530423