• DocumentCode
    254654
  • Title

    Leveraging Cognitive Context for Object Recognition

  • Author

    Lawson, W. ; Hiatt, Laura ; Trafton, J. Gregory

  • Author_Institution
    Naval Res. Lab., Washington, DC, USA
  • fYear
    2014
  • fDate
    23-28 June 2014
  • Firstpage
    387
  • Lastpage
    392
  • Abstract
    Contextual information can greatly improve both the speed and accuracy of object recognition. Context is most often viewed as a static concept, learned from large image databases. We build upon this concept by exploring cognitive context, demonstrating how rich dynamic context provided by computational cognitive models can improve object recognition. We demonstrate the use cognitive context to improve recognition using a small database of objects.
  • Keywords
    object recognition; visual databases; cognitive context leveraging; computational cognitive models; object database; object recognition; rich dynamic context; Context; Context modeling; Object recognition; Robots; Training; Visualization; Wires; ACT-R; Contextual Information; LVis; Neural Networks; Object Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on
  • Conference_Location
    Columbus, OH
  • Type

    conf

  • DOI
    10.1109/CVPRW.2014.63
  • Filename
    6910010
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=254654