• DocumentCode
    399773
  • Title

    Visual perception based on salient features

  • Author

    Courty, Nicolas ; Marchand, éric

  • Author_Institution
    IRISA - INRIA Rennes, France
  • Volume
    1
  • fYear
    2003
  • fDate
    27-31 Oct. 2003
  • Firstpage
    1024
  • Abstract
    We present in this paper an original model to simulate visual perception based on the detection of salient features. Salient features correspond to the maximum of conspicuity in a static image or in a sequence of images. We intend to use this information to provide visually interesting targets that can be used in multiple contexts. The extraction process of such an information is performed through multiple steps that correspond to different features locally encoding the conspicuity of a spatial location. We mainly use for those features spatial orientation and motion information, but other types of feature could be used as well. Two kinds of application are presented in this paper: video surveillance application and simulation of the visual perception of a synthetic actor.
  • Keywords
    computer graphics; image motion analysis; image sequences; self-organising feature maps; surveillance; video signal processing; visual perception; computer graphics; feature maps; image sequence; information extraction process; salient feature detection; spatial orientation; synthetic actor; video surveillance; visual perception; Cameras; Computer vision; Data mining; Eyes; Feature extraction; Frequency; Gabor filters; Motion estimation; Robots; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-7860-1
  • Type

    conf

  • DOI
    10.1109/IROS.2003.1250762
  • Filename
    1250762