• DocumentCode
    723973
  • Title

    Collaborative observation algorithm for multiple moving targets using a PTZ camera assisted by a wide-angle camera

  • Author

    Li Haifeng ; Wu Lufeng ; Su Jieqiong

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Civil Aviation Univ. of China, Tianjin, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    778
  • Lastpage
    782
  • Abstract
    To deal with the contradictions between camera field of view and resolution in visual observation, a collaborative observation algorithm for multiple moving targets using a Pan-Tilt-Zoom camera assisted by a wide-angle camera is designed. Firstly, the low resolution images are captured by the wide-angle camera, based on that multiple moving targets are detected, tracked and predicted. Then, for the multiple observation requested generated from the multiple targets, a visual tracking algorithm for the PTZ camera is developed. The factors, such as the image resolution, vision coverage range and response to tracking requests, are taken into account in the algorithm, and the desired pose of the PTZ camera is worked out optimally. Finally, the vehicle tracking experiments both in a simulated airport and actual traffic scenes are carried out, and the experimental results demonstrate that the proposed algorithm in this paper is accurate and time-efficient.
  • Keywords
    airports; cameras; image resolution; object detection; traffic engineering computing; PTZ camera; Pan-Tilt-Zoom camera; airport; collaborative observation algorithm; low resolution image; multiple moving target; vehicle tracking; vision coverage range; visual observation; visual tracking algorithm; wide-angle camera; Cameras; Collaboration; Pan-Tilt-Zoom Camera; collaborative observation; multiple moving targets tracking; multiple requests-single camera;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162024
  • Filename
    7162024