NDLI: Corona segmentation for nighttime brake light detection

Content Provider	IET Digital Library
Author	Alpar, Orcan
Abstract	Brake light detection of front cars has become a very important issue in safety of transport systems in recent years. As an adjunct component of automatic braking or warning systems, recognition and discrimination of the brake lights using vehicle-mounted cameras provides early warning to avoid rear-end collisions for the vehicles. Therefore in this paper a single camera-based segmentation method is introduced for detecting the brake lights in nighttime cruising and discriminating them from the other lights, such as tail lights and turn lights. Basically, a novel system is put forward for discriminating brake lights which is initialised with capturing the frames of front car having the tail lights on, with a mounted camera. Subsequent to acquisition, image enhancement is applied to frames for whitening the red corona and darkening the rest including the centre of the light sources. Region of interests are determined using the cumulative contrast differences as well as rear light positions with calculation of white and black pixel ratios in coronas. Yet, the tail lights have the approximately same ratio for all distances, ratios of the brake lights are significantly high, resulting in discrimination of brake lights from others, for the vehicles cruising in the dark.
Starting Page	97
Ending Page	105
Page Count	9
ISSN	1751956X
Volume Number	10
e-ISSN	17519578
Issue Number	Issue 2, Mar (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/10/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2014.0281
Journal	IET Intelligent Transport Systems
Publisher Date	2016-03-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Automatic Braking Component Black Pixel Ratios Brake Light Detection Brake Light Discrimination Brakes Collision Avoidance Computer Vision And Image Processing Technique Corona Segmentation Cumulative Contrast Differences Front Cars Histogram Technique Image Enhancement Image Recognition Image Segmentation Image Sonsor Light Source Mounted Camera Nighttime Brake Light Detection Object Detection Pixel Counting Technique Rear-end Collision Avoidance Red Corona Whitening Road Safety Single Camera-based Segmentation Method Traffic Engineering Computing Transport System Safety Vehicle-mounted Cameras Video Cameras Video Frame Visual-based System Video Signal Processing Warning System White Pixel Ratios
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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