• DocumentCode
    1891420
  • Title

    360° Detection and tracking algorithm of both pedestrian and vehicle using fisheye images

  • Author

    Bertozzi, Massimo ; Castangia, Luca ; Cattani, Stefano ; Prioletti, Antonio ; Versari, Pietro

  • Author_Institution
    Dept. of Inf. Eng., Univ. degli Studi di Parma, Parma, Italy
  • fYear
    2015
  • fDate
    June 28 2015-July 1 2015
  • Firstpage
    132
  • Lastpage
    137
  • Abstract
    All-around view is a mandatory element for autonomous vehicles. The European V-Charge project seeks to develop an autonomous vehicle using only low-cost sensors. This paper presents a detection and tracking algorithm that covers all the area around the vehicle using 4 fisheye cameras only. The algorithm is able to detect pedestrians and vehicles and track them, using cylindrical images. This paper presents the whole pipeline, from the image un-warping to the classification and the tracking algorithms, together with some results.
  • Keywords
    image classification; object detection; object tracking; road vehicles; traffic engineering computing; European V-Charge project; autonomous vehicles; classification algorithm; cylindrical images; detection algorithm; fisheye cameras; fisheye images; image unwarping; low-cost sensors; pedestrian detection; tracking algorithm; vehicle detection; Cameras; Computational modeling; Distortion; Mathematical model; Sensors; Tracking; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2015 IEEE
  • Conference_Location
    Seoul
  • Type

    conf

  • DOI
    10.1109/IVS.2015.7225675
  • Filename
    7225675