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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44042

Title: Robust nighttime turn signal direction recognition
Authors: Duan-Yu Chen
Yag-Jie Peng
Jun-Wei Hsieh
Chien-Peng Ho
Contributors: 國立臺灣海洋大學:資訊工程學系
NTOU:Department of Computer Science and Engineering
Keywords: Vehicles
Feature extraction
Image color analysis
Vehicle detection
Date: 2014-05
Issue Date: 2017-11-13T06:18:00Z
Publisher: IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)
Abstract: Abstract:In this work, to recognize the direction of turn signals, reflectance is decomposed from the original image. Instead of using heuristic features such as the symmetry, position and size of the rear-view vehicle, we focus on finding the invariant features to model turn signal scattering by scatter properties and then turn signals detection can be performed in a part-based manner. Experiment results with the detection rate above 80% show the effectiveness of the proposed turn signal detector under different lighting and traffic conditions.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44042
Appears in Collections:[資訊工程學系] 演講及研討會

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