2012 ©
             Publication
Journal Publication
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
     Issue
     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
595040018-6 Mr. PASIT WONGHABUT [Main Author]
Engineering Master's Degree
597040005-9 Mr. JETSADA KUMPHONG
Engineering Doctoral Degree

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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