Human action recognition using machine learning

The accurate detection of human pose is useful in various areas such as surveillance, clothes parsing and game modelling. While many existing models attempt to breach the gap, they suffer from problems including learning uninformative latent variables and being memory- intensive. In this work, we...

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Bibliographic Details
Main Author: Cao, QingTian
Other Authors: Lin Weisi
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175048
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Institution: Nanyang Technological University
Language: English

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