• DocumentCode
    2529786
  • Title

    Combined approach for face frontal view estimation for video surveillance purposes

  • Author

    Sadykhov, Rauf Kh ; Lamovsky, Denis V. ; Kharlanov, Vadim A. ; Kirienko, Alexandr S.

  • Author_Institution
    United Inst. of Inf. Problems, Minsk, Belarus
  • fYear
    2009
  • fDate
    21-23 Sept. 2009
  • Firstpage
    430
  • Lastpage
    433
  • Abstract
    This paper presents the combined approach for face frontal view estimation from video sequences. This task is important for person identification by face image in video surveillance systems. Face tracking algorithm was developed based on optical flow and cascade face detector. We also found way to estimate quality of face detection. This quality is used as base for best frontal view estimation.
  • Keywords
    computer vision; face recognition; image sequences; video surveillance; cascade face detector; computer vision; face frontal view estimation; face tracking algorithm; optical flow; person identification; video surveillance; Cameras; Face detection; Face recognition; Humans; Informatics; Neural networks; Robustness; Spatial resolution; Speech analysis; Video surveillance; and frontal view estimation; face detection; tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on
  • Conference_Location
    Rende
  • Print_ISBN
    978-1-4244-4901-9
  • Electronic_ISBN
    978-1-4244-4882-1
  • Type

    conf

  • DOI
    10.1109/IDAACS.2009.5342947
  • Filename
    5342947