Traffic Light Signal Detection: A Study
Author(s):
Ms. Priyanka Verma , Noida Institute of Technology, Greater Noida; Veer Bhadra Pratap Singh, Noida Institute of Technology, Greater Noida
Keywords:
Traffic Signal, Computer Vision, ADAS, Automatic Detection, Image Processing
Abstract:
This paper presents a study on the use of a monocular video camera for traffic lights detection, in a variety of conditions, including adverse weather and illumination. The study emphasizes on the system incorporating a color pre-processing module to enhance the discrimination of red and green regions in the image and handle the “blooming effect” that is often observed in such scenes. The study also illustrates that the fast radial symmetry transform is utilized for the detection of traffic light candidates and finally false positive results are minimized using spatiotemporal persistency verification over many years.
Other Details:
Manuscript Id | : | IJSTEV3I3034
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Published in | : | Volume : 3, Issue : 3
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Publication Date | : | 01/10/2016
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Page(s) | : | 88-90
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