UTAR Institutional Repository

Human pose stream for multi-stream convolutional network in video action classification

Tan, Jackson Zhe Sheng (2018) Human pose stream for multi-stream convolutional network in video action classification. Final Year Project, UTAR.

[img]
Preview
 PDF
Download (5Mb) | Preview
    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Information and Communication Technology > Bachelor of Computer Science (Honours)
    Depositing User: ML Main Library
    Date Deposited: 27 Aug 2018 13:59
    Last Modified: 27 Aug 2018 13:59
    URI: http://eprints.utar.edu.my/id/eprint/2851

    Actions (login required)

    		 View Item
    EPrints Logo
    UTAR Institutional Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.