Human behaviour recognition

Human behaviour recognition

This project aims to explore different methodologies in action recognition, including state-of-the-art techniques. The report presents the findings of the survey on video action recognition models and datasets, as well as the latest advancements in action recognition models and large-scale multi-vie...

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Main Author: Ng, Cheryl Si Ying
Other Authors: Tan Yap Peng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/167656
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-167656
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spelling sg-ntu-dr.10356-1676562023-07-07T16:23:10Z Human behaviour recognition Ng, Cheryl Si Ying Tan Yap Peng School of Electrical and Electronic Engineering EYPTan@ntu.edu.sg Engineering::Electrical and electronic engineering This project aims to explore different methodologies in action recognition, including state-of-the-art techniques. The report presents the findings of the survey on video action recognition models and datasets, as well as the latest advancements in action recognition models and large-scale multi-view datasets. Additionally, the report also discusses the application of transfer learning, which is a machine learning technique that uses the knowledge gained from one domain to improve the performance of a model in another domain. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-30T08:36:28Z 2023-05-30T08:36:28Z 2023 Final Year Project (FYP) Ng, C. S. Y. (2023). Human behaviour recognition. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167656 https://hdl.handle.net/10356/167656 en A3234-221 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Ng, Cheryl Si Ying
Human behaviour recognition
description This project aims to explore different methodologies in action recognition, including state-of-the-art techniques. The report presents the findings of the survey on video action recognition models and datasets, as well as the latest advancements in action recognition models and large-scale multi-view datasets. Additionally, the report also discusses the application of transfer learning, which is a machine learning technique that uses the knowledge gained from one domain to improve the performance of a model in another domain.
author2 Tan Yap Peng
author_facet Tan Yap Peng
Ng, Cheryl Si Ying
format Final Year Project
author Ng, Cheryl Si Ying
author_sort Ng, Cheryl Si Ying
title Human behaviour recognition
title_short Human behaviour recognition
title_full Human behaviour recognition
title_fullStr Human behaviour recognition
title_full_unstemmed Human behaviour recognition
title_sort human behaviour recognition
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167656
_version_ 1772826745609650176

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