• DocumentCode
    116226
  • Title

    A new biological visual cognitive behavioural modeling for video energy computing

  • Author

    Li Zuojin ; Chen Liukui ; Ren Zhiyong ; Tirumala, Sreenivas Sremath

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
  • fYear
    2014
  • fDate
    18-20 Aug. 2014
  • Firstpage
    370
  • Lastpage
    372
  • Abstract
    As we all know, human vision is quite sensitive to abnormal behaviors, which is attributed to the discharging of the receptor cells in the brain visual cortex and the ensuing bioelectrical energy features. Inspired by this biological nature, this paper constructs a computing model to describe video dynamic energy, which can further improve the perception of machine vision to abnormal behaviors. Experiments show that this computing model can extract video energy features of abnormal behaviors under complex environment.
  • Keywords
    bioelectric potentials; biology computing; cognition; computer vision; video signal processing; abnormal behaviors; bioelectrical energy features; biological visual cognitive behavioural modeling; brain visual cortex; complex environment; human vision; machine vision; receptor cells; video dynamic energy; video energy computing; video energy feature extraction; Biological system modeling; Brain modeling; Computational modeling; Image edge detection; Mathematical model; Visualization; compute modeling; video energy; visual congenitive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4799-6080-4
  • Type

    conf

  • DOI
    10.1109/ICCI-CC.2014.6921485
  • Filename
    6921485