• DocumentCode
    1564942
  • Title

    Visual System Inspired Model for Salient Region Detection in Two Cortical Pathways

  • Author

    Tian, Mei ; Luo, Siwei ; Huang, Hua ; Liao, Lingzhi

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ.
  • Volume
    2
  • fYear
    2005
  • Firstpage
    985
  • Lastpage
    990
  • Abstract
    Inspired by the research of visual systems in neuroanatomy and psychology, a novel model for salient region detection in an image is proposed in the paper based on the "what" and "where" pathways. The operation of the model can be divided into two stages: finding and shifting salient regions. Current salient region and potential targets of an image are firstly found and marked according to statistical feature saliency. Series of next salient regions are then detected by altering different current salient region and alterative attracting force computation. Experimental results with natural images demonstrate its effectiveness and robustness
  • Keywords
    natural scenes; object detection; psychology; statistical analysis; visual perception; cortical pathways; natural images; neuroanatomy; psychology; salient region detection; statistical feature saliency; visual system; Computational modeling; Electronic mail; Humans; Independent component analysis; Information processing; Information technology; Psychology; Robustness; Visual perception; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1614784
  • Filename
    1614784