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Traffic Light Recognition System: A Computer Vision based Approach


Author(s):

Ms. Priyanka Verma , Noida Institute of Technology, Greater Noida; Veer Bhadra Pratap Singh, Noida Institute of Engineering and Technology

Keywords:

Computer Vision, Traffic Light Detection, ADAS, Monocular Camera

Abstract:

This paper states the use of monocular video camera for the detection of traffic lights under different conditions i.e. adverse weather and low illumination, haze, fog etc. The system proposed in the report incorporates 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 fast radial symmetry transform is utilized for the detection of traffic light candidates and finally false positive results are minimized using spatiotemporal persistency verification. The system is qualitatively assessed in various conditions, including driving in the rain, at night and in city roads with dense traffic, as well as their synergy. It is also quantitatively assessed on a publicly available manually annotated database, scoring high detection rates.


Other Details:

Manuscript Id :IJSTEV3I3035
Published in :Volume : 3, Issue : 3
Publication Date: 01/10/2016
Page(s): 99-102
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