• DocumentCode
    2860836
  • Title

    A qualitative approach to classifying gaze direction

  • Author

    Pappu, R. ; Beardsley, P.A.

  • Author_Institution
    Media Lab., MIT, Cambridge, MA, USA
  • fYear
    1998
  • fDate
    14-16 Apr 1998
  • Firstpage
    160
  • Lastpage
    165
  • Abstract
    The goal of this work is to classify the focus of attention of a subject who is switching his or her attention between a number of surrounding objects. The specific application is to classify the focus of attention of a car driver as straight-ahead towards the rear-view mirror, towards the dashboard etc. An explicit quantitative approach to this problem requires (a) a priori information about the interior geometry of the car and the calibration of the camera, and (is) accurate computation of the subject´s location and gaze direction. This paper describes a more qualitative approach. The subject is observed over an extended period of time, and a “pose-space histogram” is used to record the: frequency with which particular head poses occur. For observation of a car driver, peaks wilt appear in the histogram according to the frequently viewed directions of straight-ahead, toward the dashboard, and the mirrors. Each peak is labelled and the focus of attention of the driver in all subsequent images is then classified by use of the histogram
  • Keywords
    calibration; face recognition; gaze direction classification; histogram; interior geometry; qualitative approach; quantitative approach; Calibration; Cameras; Detectors; Focusing; Frequency; Head; Histograms; Mirrors; Solid modeling; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on
  • Conference_Location
    Nara
  • Print_ISBN
    0-8186-8344-9
  • Type

    conf

  • DOI
    10.1109/AFGR.1998.670942
  • Filename
    670942