Florida Tech Logo
    • Login
    View Item 
    •   Scholarship Repository at Florida Tech
    • College of Engineering and Science
    • Theses/Dissertations
    • View Item
    •   Scholarship Repository at Florida Tech
    • College of Engineering and Science
    • Theses/Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Real-Time Action Classification using Intermediate Skeletal Pose Estimation

    Thumbnail
    View/Open
    Thesis PDF (3.419Mb)
    Date
    2020-12
    Author
    Zisis Tegos, Kleanthis
    Metadata
    Show full item record
    Abstract
    The topic of Human Action Classification has attracted significant interest these past years, which can be attributed to the advancements in deep learning methodologies. Its applications range from robotics to surveillance and automated video categorization, as well as in the healthcare industry. The literature, however, has primarily focused on offline action classification, without significant attention being given to the constraints of an online real-time classifier. Using an intermediate skeletal representation of humans, while convoluted, provides a scalable means of tackling the action classification problem. This project discusses the existing literature, and adapts two of the state-of-the-art approaches for real-time analysis. An extensive analysis is performed to distinguish the advantages and drawbacks of each model. Lastly, an end-to-end system is implemented to experiment the efficacy of the classifiers in real-world environments.
    URI
    http://hdl.handle.net/11141/3211
    Collections
    • Theses/Dissertations

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of Scholarship RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    Most Read ItemsStatistics by CountryMost Read Authors

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV