• DocumentCode
    144786
  • Title

    Pedestrian detection by fusing multiple techniques of a single color camera for a mobile robot

  • Author

    Jeongdae Kim ; Park, Jongho ; Yongtae Do

  • Author_Institution
    Sch. of Electron. & Electr. Eng., Daegu Univ., Gyeongsan, South Korea
  • Volume
    2
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    1253
  • Lastpage
    1256
  • Abstract
    In recent years, many electronic/mechanical systems have acquired mobility due to rapid technological advances and market demands. Mobile robots are a typical example. When a robot moves around in an uncontrolled environment such as a building corridor, safety of the robot and humans around is of great importance. Although ultrasonic range finders have been popularly employed so as to sense obstacles in front of a mobile robot, they have many limitations due mainly to low sensing resolution in such a narrow space. In this paper, we present an effective method of pedestrian detection by using a single color camera mounted on a mobile robot that navigates in a corridor. Vision techniques of detecting appearance and body are practiced and their results are fused to obtain more reliable results.
  • Keywords
    cameras; collision avoidance; image colour analysis; image fusion; mobile robots; object detection; robot vision; appearance detection; body detection; color camera; electronic systems; image fusion; mechanical system; mobile robot; pedestrian detection; robot navigation; ultrasonic range finders; vision techniques; Cameras; Collision avoidance; Image color analysis; Mobile robots; Robot vision systems; collision avoidance; human detection; mobile robot; redundant sensor fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6947871
  • Filename
    6947871