Research Title |
Traffic Light Color Identification for Automatic Traffic Light Violation Detection System |
Date of Distribution |
6 July 2018 |
Conference |
Title of the Conference |
The 4th International Conference on Engineering, Applied Sciences and Technology |
Organiser |
King Mongkut’s Institute of Technology Ladkrabang (KMITL) |
Conference Place |
Swissôtel Resort Phuket Patong Beach Phuket, Thailand |
Province/State |
|
Conference Date |
4 July 2018 |
To |
7 July 2018 |
Proceeding Paper |
Volume |
4 |
Issue |
1 |
Page |
230 |
Editors/edition/publisher |
|
Abstract |
Automatic traffic light violation detection system relies on color detection of traffic light appeared in video frames. Presence of red light in video frame triggers detection software routine to identify vehicles violating traffic light. Detection of red light in video frames can be difficult due to: fading or dimming of red light, obscurity from large vehicles and flare. In this paper, we present a software technique based on HSV (Hue, Saturation, Value) color model to eliminate difficulties in red light detection mentioned above and is able to identify all colors of traffic light which gives 96% detection accuracy. |
Author |
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Peer Review Status |
มีผู้ประเมินอิสระ |
Level of Conference |
นานาชาติ |
Type of Proceeding |
Full paper |
Type of Presentation |
Poster |
Part of thesis |
true |
Presentation awarding |
false |
Attach file |
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Citation |
0
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