The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
이 편지는 차량 내 카메라로 캡처한 비디오 프레임에서 신호등을 감지하는 새로운 접근 방식을 제시합니다. 알고리즘은 회전된 주성분 분석(RPCA), PC 평면의 히스토그램에 대한 수정된 진폭 임계값 지정 및 신경망을 사용한 최종 필터링으로 구성됩니다. 제안된 알고리즘은 평균 96%의 검출률을 달성하며 영상 품질 변화에 매우 강인하다.
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Sung-Kwan JOO, Yongkwon KIM, Seong Ik CHO, Kyoungho CHOI, Kisung LEE, "Traffic Light Detection Using Rotated Principal Component Analysis for Video-Based Car Navigation System" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 12, pp. 2884-2887, December 2008, doi: 10.1093/ietisy/e91-d.12.2884.
Abstract: This letter presents a novel approach for traffic light detection in a video frame captured by an in-vehicle camera. The algorithm consists of rotated principal component analysis (RPCA), modified amplitude thresholding with respect to the histograms of the PC planes and final filtering with a neural network. The proposed algorithm achieves an average detection rate of 96% and is very robust to variations in the image quality.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.12.2884/_p
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@ARTICLE{e91-d_12_2884,
author={Sung-Kwan JOO, Yongkwon KIM, Seong Ik CHO, Kyoungho CHOI, Kisung LEE, },
journal={IEICE TRANSACTIONS on Information},
title={Traffic Light Detection Using Rotated Principal Component Analysis for Video-Based Car Navigation System},
year={2008},
volume={E91-D},
number={12},
pages={2884-2887},
abstract={This letter presents a novel approach for traffic light detection in a video frame captured by an in-vehicle camera. The algorithm consists of rotated principal component analysis (RPCA), modified amplitude thresholding with respect to the histograms of the PC planes and final filtering with a neural network. The proposed algorithm achieves an average detection rate of 96% and is very robust to variations in the image quality.},
keywords={},
doi={10.1093/ietisy/e91-d.12.2884},
ISSN={1745-1361},
month={December},}
부
TY - JOUR
TI - Traffic Light Detection Using Rotated Principal Component Analysis for Video-Based Car Navigation System
T2 - IEICE TRANSACTIONS on Information
SP - 2884
EP - 2887
AU - Sung-Kwan JOO
AU - Yongkwon KIM
AU - Seong Ik CHO
AU - Kyoungho CHOI
AU - Kisung LEE
PY - 2008
DO - 10.1093/ietisy/e91-d.12.2884
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2008
AB - This letter presents a novel approach for traffic light detection in a video frame captured by an in-vehicle camera. The algorithm consists of rotated principal component analysis (RPCA), modified amplitude thresholding with respect to the histograms of the PC planes and final filtering with a neural network. The proposed algorithm achieves an average detection rate of 96% and is very robust to variations in the image quality.
ER -