Multimedia Communications Laboratory (MMLab), University of Information Technology (UIT), Vietnam
Top highest grade of Bachelor's thesis defense 2018/07, UIT, Vietnam (grade 9.8)
Top 10 teams - semifinal in Creative Idea for Smart City - Binh Duong Competition 2018, Vietnam
In this thesis, we developed an application to identify persons in surveillance cameras, using video surveillance cameras from a building as input. The target is finding a person with information, such as a photo of a person's face or personal attribute information. We designed a framework that utilizes facial features and person identification information to find persons in CCTV cameras. The goals of this thesis are as follows: first, to learn related techniques such as face detection, matching algorithms, person detection, classification of a person's descriptive information, object grouping, and so on; second, to develop a system with the function of searching people in surveillance cameras; and finally, to evaluate the application's search efficiency when combining related techniques.
Techniques :
Face Detection,
Face Tracking,
Face Clustering,
Pedestrian Detection,
Person Attributes Recognition,
Languages and frameworks :
Python,
Django,
OpenCV,
HTML/CSS,
Javascript/AJAX,
DEMO VIDEO
DEMO GALLERY
Supervisor
|
Duy-Dinh LE (レイ ユイデン)
Associate Professor, Head, Department of Graduate Studies - Science Technology, University of Information Technology, Vietnam |