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

Bibliographic Details
Main Author: Tan, Jackson Zhe Sheng
Format: Final Year Project / Dissertation / Thesis
Published: 2018
Subjects:
Online Access:http://eprints.utar.edu.my/2851/
http://eprints.utar.edu.my/2851/1/CS%2D2018%2D1402698%2D1.pdf
_version_ 1848885763299606528
author Tan, Jackson Zhe Sheng
author_facet Tan, Jackson Zhe Sheng
author_sort Tan, Jackson Zhe Sheng
building UTAR Institutional Repository
collection Online Access
first_indexed 2025-11-15T19:27:46Z
format Final Year Project / Dissertation / Thesis
id utar-2851
institution Universiti Tunku Abdul Rahman
institution_category Local University
last_indexed 2025-11-15T19:27:46Z
publishDate 2018
recordtype eprints
repository_type Digital Repository
spelling utar-28512018-08-27T05:59:29Z Human pose stream for multi-stream convolutional network in video action classification Tan, Jackson Zhe Sheng QA75 Electronic computers. Computer science QA76 Computer software 2018-04-23 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/2851/1/CS%2D2018%2D1402698%2D1.pdf Tan, Jackson Zhe Sheng (2018) Human pose stream for multi-stream convolutional network in video action classification. Final Year Project, UTAR. http://eprints.utar.edu.my/2851/
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Tan, Jackson Zhe Sheng
Human pose stream for multi-stream convolutional network in video action classification
title Human pose stream for multi-stream convolutional network in video action classification
title_full Human pose stream for multi-stream convolutional network in video action classification
title_fullStr Human pose stream for multi-stream convolutional network in video action classification
title_full_unstemmed Human pose stream for multi-stream convolutional network in video action classification
title_short Human pose stream for multi-stream convolutional network in video action classification
title_sort human pose stream for multi-stream convolutional network in video action classification
topic QA75 Electronic computers. Computer science
QA76 Computer software
url http://eprints.utar.edu.my/2851/
http://eprints.utar.edu.my/2851/1/CS%2D2018%2D1402698%2D1.pdf