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

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.

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Abstract

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.

Item Type: Thesis (PhD.)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 14 May 2019 11:07
Last Modified: 14 May 2019 11:07
URI: http://utpedia.utp.edu.my/id/eprint/19014

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