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
객체 감지 및 추적은 패턴 인식 분야에서 가장 중요한 연구 주제 중 하나이며 많은 컴퓨터 비전 시스템의 기초입니다. 최근 이 분야에서 많은 성과가 이루어졌습니다. 사람의 얼굴이나 차량과 같은 일부 특정 물체는 이미 다양한 애플리케이션에서 감지될 수 있습니다. 그러나 색상, 질감 및 국지적 모양(예: 보행자)의 차이가 큰 물체를 추적하는 것은 이 분야에서 여전히 어려운 주제입니다. 이러한 문제를 해결하기 위해 본 논문에서는 보행자 감지기의 온라인 학습을 포함한 보행자 추적 기법을 제안한다. 결과의 시뮬레이션 및 분석은 제안 방법이 조명 변경, 포즈 변경 및 폐색 문제 및 이들의 조합을 처리할 수 있음을 보여줍니다.
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부
Chang LIU, Guijin WANG, Fan JIANG, Xinggang LIN, "Online HOG Method in Pedestrian Tracking" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 5, pp. 1321-1324, May 2010, doi: 10.1587/transinf.E93.D.1321.
Abstract: Object detection and tracking is one of the most important research topics in pattern recognition and the basis of many computer vision systems. Many accomplishments in this field have been achieved recently. Some specific objects, such as human face and vehicles, can already be detected in various applications. However, tracking objects with large variances in color, texture and local shape (such as pedestrians) is still a challenging topic in this field. To solve this problem, a pedestrian tracking scheme is proposed in this paper, including online training for pedestrian-detector. Simulation and analysis of the results shows that, the proposal method could deal with illumination change, pose change and occlusion problem and any combination thereof.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.1321/_p
부
@ARTICLE{e93-d_5_1321,
author={Chang LIU, Guijin WANG, Fan JIANG, Xinggang LIN, },
journal={IEICE TRANSACTIONS on Information},
title={Online HOG Method in Pedestrian Tracking},
year={2010},
volume={E93-D},
number={5},
pages={1321-1324},
abstract={Object detection and tracking is one of the most important research topics in pattern recognition and the basis of many computer vision systems. Many accomplishments in this field have been achieved recently. Some specific objects, such as human face and vehicles, can already be detected in various applications. However, tracking objects with large variances in color, texture and local shape (such as pedestrians) is still a challenging topic in this field. To solve this problem, a pedestrian tracking scheme is proposed in this paper, including online training for pedestrian-detector. Simulation and analysis of the results shows that, the proposal method could deal with illumination change, pose change and occlusion problem and any combination thereof.},
keywords={},
doi={10.1587/transinf.E93.D.1321},
ISSN={1745-1361},
month={May},}
부
TY - JOUR
TI - Online HOG Method in Pedestrian Tracking
T2 - IEICE TRANSACTIONS on Information
SP - 1321
EP - 1324
AU - Chang LIU
AU - Guijin WANG
AU - Fan JIANG
AU - Xinggang LIN
PY - 2010
DO - 10.1587/transinf.E93.D.1321
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2010
AB - Object detection and tracking is one of the most important research topics in pattern recognition and the basis of many computer vision systems. Many accomplishments in this field have been achieved recently. Some specific objects, such as human face and vehicles, can already be detected in various applications. However, tracking objects with large variances in color, texture and local shape (such as pedestrians) is still a challenging topic in this field. To solve this problem, a pedestrian tracking scheme is proposed in this paper, including online training for pedestrian-detector. Simulation and analysis of the results shows that, the proposal method could deal with illumination change, pose change and occlusion problem and any combination thereof.
ER -