NDLI: Nighttime Vehicle Light Detection on a Moving Vehicle using Image Segmentation and Analysis

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Nighttime Vehicle Light Detection on a Moving Vehicle using Image Segmentation and Analysis

Content Provider	CiteSeerX
Author	Chen, Yen-Lin
Abstract	Abstract:- This study proposes a vehicle detection system for identifying the vehicles by locating their headlights and rear-lights in the nighttime road environment. The proposed system comprises of two stages for detecting the vehicles in front of the camera-assisted car. The first stage is a fast automatic multilevel thresholding, which separates the bright objects from the grabbed nighttime road scene images. This proposed automatic multilevel thresholding approach provide the robustness and adaptability for the system to operate on various illuminated conditions at night. Then the extracted bright objects are processed by the second stage – the proposed knowledge-based connected-component analysis procedure, to identify the vehicles by locating their vehicle lights, and estimate the distance between the camera-assisted car and the detected vehicles. Experimental results demonstrate the feasibility and effectiveness of the proposed approach on vehicle detection at night. Key-Words:- Computer vision, vehicle detection, image segmentation, image analysis, multilevel thresholding,
File Format	PDF
Journal	Techniques”, WSEAS Trans. on Computers
Language	English
Access Restriction	Open
Subject Keyword	Image Segmentation Moving Vehicle Nighttime Vehicle Light Detection Camera-assisted Car Vehicle Detection Fast Automatic Multilevel Thresholding Multilevel Thresholding Bright Object Knowledge-based Connected-component Analysis Procedure Computer Vision Various Illuminated Condition Grabbed Nighttime Road Scene Image Automatic Multilevel Proposed System Comprises Nighttime Road Environment Vehicle Light Vehicle Detection System Second Stage Image Analysis Detected Vehicle First Stage Experimental Result Extracted Bright Object
Content Type	Text
Resource Type	Article

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