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...
| Main Author: | SHUAIBU, ALIYU NUHU |
|---|---|
| Format: | Thesis |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.19014 / |
| Published: |
2018
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| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/19014/1/Aliyu_PhD_Thesis_Revised.pdf http://utpedia.utp.edu.my/19014/ |
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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 |
| collection |
UTPedia |
| 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_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_ |
1741195436881870848 |
| score |
11.62408 |