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IDENTIFICATION OF HUMAN BEHAVIOR IN VISUAL CROWD SCENE USING SPACE-TIME FEATURES AND 3D-SCALE CONVOLUTIONAL NEURAL NETWORK APPROACHES

Human behavior analysis has become a critical area of research in computer vision and artificial intelligence research community. In recent years, the conventional video surveillance systems of crowd scenes have witnessed an increased demand in different applications such as safety, security, entert...

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Bibliographic Details
Main Author: SHUAIBU, ALIYU NUHU
Format: Thesis
Language:English
Published: 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/19014/1/Aliyu_PhD_Thesis_Revised.pdf
http://utpedia.utp.edu.my/19014/
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spelling my-utp-utpedia.190142019-05-14T11:07:15Z http://utpedia.utp.edu.my/19014/ IDENTIFICATION OF HUMAN BEHAVIOR IN VISUAL CROWD SCENE USING SPACE-TIME FEATURES AND 3D-SCALE CONVOLUTIONAL NEURAL NETWORK APPROACHES SHUAIBU, ALIYU NUHU TK Electrical engineering. Electronics Nuclear engineering Human behavior analysis has become a critical area of research in computer vision and artificial intelligence research community. In recent years, the conventional video surveillance systems of crowd scenes have witnessed an increased demand in different applications such as safety, security, entertainment and personal archiving. 2018-03 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/19014/1/Aliyu_PhD_Thesis_Revised.pdf SHUAIBU, ALIYU NUHU (2018) IDENTIFICATION OF HUMAN BEHAVIOR IN VISUAL CROWD SCENE USING SPACE-TIME FEATURES AND 3D-SCALE CONVOLUTIONAL NEURAL NETWORK APPROACHES. PhD thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
SHUAIBU, ALIYU NUHU
IDENTIFICATION OF HUMAN BEHAVIOR IN VISUAL CROWD SCENE USING SPACE-TIME FEATURES AND 3D-SCALE CONVOLUTIONAL NEURAL NETWORK APPROACHES
description Human behavior analysis has become a critical area of research in computer vision and artificial intelligence research community. In recent years, the conventional video surveillance systems of crowd scenes have witnessed an increased demand in different applications such as safety, security, entertainment and personal archiving.
format Thesis
author SHUAIBU, ALIYU NUHU
author_facet SHUAIBU, ALIYU NUHU
author_sort SHUAIBU, ALIYU NUHU
title IDENTIFICATION OF HUMAN BEHAVIOR IN VISUAL CROWD SCENE USING SPACE-TIME FEATURES AND 3D-SCALE CONVOLUTIONAL NEURAL NETWORK APPROACHES
title_short IDENTIFICATION OF HUMAN BEHAVIOR IN VISUAL CROWD SCENE USING SPACE-TIME FEATURES AND 3D-SCALE CONVOLUTIONAL NEURAL NETWORK APPROACHES
title_full IDENTIFICATION OF HUMAN BEHAVIOR IN VISUAL CROWD SCENE USING SPACE-TIME FEATURES AND 3D-SCALE CONVOLUTIONAL NEURAL NETWORK APPROACHES
title_fullStr IDENTIFICATION OF HUMAN BEHAVIOR IN VISUAL CROWD SCENE USING SPACE-TIME FEATURES AND 3D-SCALE CONVOLUTIONAL NEURAL NETWORK APPROACHES
title_full_unstemmed IDENTIFICATION OF HUMAN BEHAVIOR IN VISUAL CROWD SCENE USING SPACE-TIME FEATURES AND 3D-SCALE CONVOLUTIONAL NEURAL NETWORK APPROACHES
title_sort identification of human behavior in visual crowd scene using space-time features and 3d-scale convolutional neural network approaches
publishDate 2018
url http://utpedia.utp.edu.my/19014/1/Aliyu_PhD_Thesis_Revised.pdf
http://utpedia.utp.edu.my/19014/
_version_ 1739832576843972608
score 13.18916

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