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    Human action recognition by conceptual features

    Shamsipour, G.; Shanbehzadeh, J.; Sarrafzadeh, Hossein

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    IMECS2017_pp7_13_Human_Action_Recognition_by_Conceptual.pdf (3.628Mb)
    Date
    2017-03
    Citation:
    Shamsipour, G., Shanbehzadeh, J., & Sarrafzadeh, A. (2017, March). Human action recognition by conceptual features. S. I. Ao., O. Castillo., C. Douglas., D. D. Feng & A. M. Korsunsky (Ed.), International MultiConference of Engineers and Computer Scientists 2017 (IMECS2017) (pp.online). 1.
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/3877
    Abstract
    Human action recognition is the process of labeling a video according to human behavior. This process requires a large set of labeled video and analyzing all the frames of a video. The consequence is high computation and memory requirement. This paper solves these problems by focusing on a limited set rather than all the human action and considering the human-object interaction. This paper employs three randomly selected video frames instead of employing all the frames and, Convolutional Neural Network extracts conceptual features and recognize the video objects. Finally, support vector machine determines the relation between these objects and labels the video. The proposed method have been tested on two popular datasets ; UCF Sports Action and Olympic Sports. The results show improvements over state-of-the-art algorithms. This work is the outcome of Shamsipour's M.Sc thesis at Kharazmi University.
    Keywords:
    computer vision, human activity recognition, Convolutional Neural Network (CNN), support vector machine
    ANZSRC Field of Research:
    080109 Pattern Recognition and Data Mining
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    Available Online at:
    http://www.iaeng.org/publication/IMECS2017/
    www.iaeng.org/publication/IMECS2017/IMECS2017_pp7-13.pdf
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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 [149]

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