• DocumentCode
    3189542
  • Title

    Pedestrians Tracking Using Offboard Cameras

  • Author

    Aycard, Olivier ; Spalanzani, Anne ; Burlet, Julien ; Fulgenzi, Chiara ; Vu, Trung Dung ; Raulo, David ; Yguel, Manuel

  • Author_Institution
    GRAVIR-IMAG, Saint Ismier
  • fYear
    2006
  • fDate
    Oct. 2006
  • Firstpage
    513
  • Lastpage
    518
  • Abstract
    In this paper, we detail the hardware and software perception system designed and developed to track pedestrians using a set of offboard cameras. It has been used in the context of vulnerable safety in a car park. This architecture is divided in two parts: a fusion part to fusion the data given by the set of offboard cameras and a tracking part to sequentially estimate the position of each pedestrian present in the environment and to determine the number of pedestrians. Finally, some experimental results are presented
  • Keywords
    image sensors; sensor fusion; traffic engineering computing; hardware perception system; offboard cameras; pedestrians tracking; position estimation; software perception system; Intelligent robots; Laser radar; Radar tracking; Road accidents; Robot vision systems; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Smart cameras; Uncertainty; pedestrians tracking; perception; sensor data fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-0259-X
  • Electronic_ISBN
    1-4244-0259-X
  • Type

    conf

  • DOI
    10.1109/IROS.2006.281662
  • Filename
    4059254