• DocumentCode
    2266529
  • Title

    Fast and robust face detection and tracking framework

  • Author

    Paliy, Ihor ; Dovgan, Volodymyr ; Boumbarov, Ognian ; Panev, Stanislav ; Sachenko, Anatoly ; Kurylyak, Yuriy ; Zagorodnya, Diana

  • Author_Institution
    Res. Inst. of Intell. Comput. Syst., Ternopil Nat. Econ. Univ., Ternopil, Ukraine
  • Volume
    1
  • fYear
    2011
  • fDate
    15-17 Sept. 2011
  • Firstpage
    430
  • Lastpage
    434
  • Abstract
    Face detection and tracking framework is described in the paper. Face detection is based on combined cascade of neural network-classifiers. Tracking is performed using Kalman filter. The framework was experimentally researched on a test video sequence and adjusted to obtain high processing speed.
  • Keywords
    Kalman filters; face recognition; image sequences; neural nets; pattern classification; Kalman filter; face tracking framework; neural network classifiers; robust face detection; test video sequence; Biological neural networks; Face; Face detection; Kalman filters; Support vector machines; Tracking; Kalman filter; combined cascade of neural network-classifiers; convolutional neural network; face detection; face tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    978-1-4577-1426-9
  • Type

    conf

  • DOI
    10.1109/IDAACS.2011.6072790
  • Filename
    6072790
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2266529