Research Title |
Automatic helmet-wearing detection for law enforcement using CCTV cameras |
Date of Distribution |
12 April 2018 |
Conference |
Title of the Conference |
2nd International Conference on Sustainable Development of Civil, Urban and Transportation Engineering Conference |
Organiser |
Ton Duc Thang University. |
Conference Place |
Ton Duc Thang University. |
Province/State |
Ho Chi Minh City/ Vietnam |
Conference Date |
17 April 2018 |
To |
19 April 2018 |
Proceeding Paper |
Volume |
143 |
Issue |
- |
Page |
1-8 |
Editors/edition/publisher |
IOP Conference Series: Earth and Environmental Science (EES) |
Abstract |
The objective of this research is to develop an application for enforcing
helmet wearing using CCTV cameras. The developed application aims to help law enforcement
by police, and eventually resulting in changing risk behaviours and consequently reducing the
number of accidents and its severity. Conceptually, the application software implemented using
C++ language and OpenCV library uses two different angle of view CCTV cameras. Video
frames recorded by the wide-angle CCTV camera are used to detect motorcyclists. If any
motorcyclist without helmet is found, then the zoomed (narrow-angle) CCTV is activated to
capture image of the violating motorcyclist and the motorcycle license plate in real time.
Captured images are managed by database implemented using MySQL for ticket issuing. The
results show that the developed program is able to detect 81% of motorcyclists on various
motorcycle types during daytime and night-time. The validation results reveal that the program
achieves 74% accuracy in detecting the motorcyclist without helmet. |
Author |
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Peer Review Status |
มีผู้ประเมินอิสระ |
Level of Conference |
นานาชาติ |
Type of Proceeding |
Full paper |
Type of Presentation |
Oral |
Part of thesis |
true |
Presentation awarding |
false |
Attach file |
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Citation |
0
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