ASIA unversity:Item 310904400/8688
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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/8688


    Title: Nighttime vehicle light detection on a moving vehicle using image segmentation and analysis techniques
    Authors: Chen, Yen-Lin
    Contributors: Department of Computer Science and Information Engineering
    Keywords: Cameras;Computer vision;Digital image storage;Image analysis;Image segmentation;Knowledge based systems;Roads and streets;Analysis techniques;Autonomous vehicles;Connected component analysis;Light detection;Moving vehicles;Multilevel thresholding;Road environment;Scene image;Two stage;Vehicle detection;Vehicle detection systems
    Date: 2009
    Issue Date: 2010-04-07 13:27:22 (UTC+0)
    Publisher: Asia University
    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.
    Relation: WSEAS Transactions on Computers 8(3):506-515
    Appears in Collections:[Department of Computer Science and Information Engineering] Journal Artical

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