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    A new biological visual cognitive behavioural modeling for video energy computing

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

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    A_New_Biological_Visual_Cognitive_Behavioural_Modeling_for_Video_Energy_Computing.pdf (159.6Kb)
    Date
    2014
    Citation:
    Li, Z.J., Ren, Z.Y. & Tirumala, S.S. (2014). A new biological visual cognitive behavioural modeling for video energy computing. IEEE(Ed.), IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014 (pp.370-372).
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/3964
    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:
    computer modelling, video energy, visual congenitive, machine vision
    ANZSRC Field of Research:
    080110 Simulation and Modelling
    Copyright Holder:
    Authors

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    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use. These documents or images may be used for research or private study purposes. Whether they can be used for any other purpose depends upon the Copyright Notice above. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
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    • Computing Conference Papers [150]

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