• DocumentCode
    264107
  • Title

    Dual PTZ cameras approach for security face detection

  • Author

    Tran, Duc X. ; Nguyen, T.D. ; Bui, Hieu M. ; Nguyen, S.T. ; Hoang, Hong X. ; Pham, Thanh C. ; de Souza-Daw, Tony

  • Author_Institution
    Centre of Technol., RMIT Vietnam Univ., Ho Chi Minh City, Vietnam
  • fYear
    2014
  • fDate
    July 30 2014-Aug. 1 2014
  • Firstpage
    478
  • Lastpage
    483
  • Abstract
    In security applications, obtaining high resolution face images is challenging since cameras are usually placed at a far distance. In this paper, we employ two approaches to detect face at a distance including using one or dual pan-tilt-zoom (PTZ) cameras to zoom in and capture proximate faces while still maintaining a large observing area. While most current approaches require a complex calibration and coordinate transformation, our system offers simple image coordinate transformation and no calibration in 3D real world coordinate. The system testing results showed high face detection accuracy, 100% zooming accuracy as well as reasonable camera moving and zooming time.
  • Keywords
    face recognition; image resolution; object detection; security of data; 3D real world coordinate; dual PTZ cameras approach; high resolution face images; security face detection; simple image coordinate transformation; Accuracy; Cameras; Face; IEEE 802.11 Standards; Testing; OpenCV; coordinate transformation; dual PTZ cameras; face detection at a distance; security; visual calibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Electronics (ICCE), 2014 IEEE Fifth International Conference on
  • Conference_Location
    Danang
  • Print_ISBN
    978-1-4799-5049-2
  • Type

    conf

  • DOI
    10.1109/CCE.2014.6916751
  • Filename
    6916751