• DocumentCode
    3429389
  • Title

    Predicting Primary Gaze Behavior Using Social Saliency Fields

  • Author

    Hyun Soo Park ; Jain, Eeti ; Sheikh, Yaser

  • fYear
    2013
  • fDate
    1-8 Dec. 2013
  • Firstpage
    3503
  • Lastpage
    3510
  • Abstract
    We present a method to predict primary gaze behavior in a social scene. Inspired by the study of electric fields, we posit "social charges"-latent quantities that drive the primary gaze behavior of members of a social group. These charges induce a gradient field that defines the relationship between the social charges and the primary gaze direction of members in the scene. This field model is used to predict primary gaze behavior at any location or time in the scene. We present an algorithm to estimate the time-varying behavior of these charges from the primary gaze behavior of measured observers in the scene. We validate the model by evaluating its predictive precision via cross-validation in a variety of social scenes.
  • Keywords
    motion estimation; social sciences computing; gradient field; motion estimation; primary gaze behavior prediction; social saliency fields; time-varying behavior; Computational modeling; Equations; Feature extraction; Force; Hidden Markov models; Predictive models; Three-dimensional displays; Gaze prediction; Social scene understanding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision (ICCV), 2013 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    1550-5499
  • Type

    conf

  • DOI
    10.1109/ICCV.2013.435
  • Filename
    6751547