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
Dalam makalah ini, algoritma perwakilan medan gerakan berdasarkan maklumat tepi arah telah dibangunkan. Kerja ini bertujuan untuk membina sistem pengesanan ego-motion menggunakan cip VLSI khusus yang dibangunkan untuk penjanaan medan gerakan masa nyata pada kuasa rendah . Peta tepi arah digunakan dan bukannya imej skala kelabu asal untuk mewakili ciri setempat imej dan untuk mengesan komponen gerakan tempatan dalam jujukan imej bergerak. Pengesanan gerakan mengikut pemadanan histogram tepi telah secara drastik mengurangkan kos pengiraan padanan blok, sambil mencapai prestasi teguh sistem pengesanan gerakan ego di bawah variasi pencahayaan dinamik. Dua jenis vektor ciri, vektor gerakan global dan vektor pengedaran komponen, dijana daripada medan gerakan pada dua skala dan perspektif yang berbeza. Ia digunakan bersama dalam skema klasifikasi hierarki yang menggunakan padanan berbilang petunjuk. Akibatnya, masalah kekaburan gerakan serta herotan medan gerakan yang disebabkan oleh goncangan kamera semasa tangkapan video telah diselesaikan. Prestasi sistem pengesanan ego-motion dinilai dalam pelbagai keadaan, dan keberkesanan kerja ini telah disahkan.
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Salinan
Jia HAO, Tadashi SHIBATA, "An Ego-Motion Detection System Employing Directional-Edge-Based Motion Field Representations" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 1, pp. 94-106, January 2010, doi: 10.1587/transinf.E93.D.94.
Abstract: In this paper, a motion field representation algorithm based on directional edge information has been developed. This work is aiming at building an ego-motion detection system using dedicated VLSI chips developed for real time motion field generation at low powers . Directional edge maps are utilized instead of original gray-scale images to represent local features of an image and to detect the local motion component in a moving image sequence. Motion detection by edge histogram matching has drastically reduced the computational cost of block matching, while achieving a robust performance of the ego-motion detection system under dynamic illumination variation. Two kinds of feature vectors, the global motion vector and the component distribution vectors, are generated from a motion field at two different scales and perspectives. They are jointly utilized in the hierarchical classification scheme employing multiple-clue matching. As a result, the problems of motion ambiguity as well as motion field distortion caused by camera shaking during video capture have been resolved. The performance of the ego-motion detection system was evaluated under various circumstances, and the effectiveness of this work has been verified.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.94/_p
Salinan
@ARTICLE{e93-d_1_94,
author={Jia HAO, Tadashi SHIBATA, },
journal={IEICE TRANSACTIONS on Information},
title={An Ego-Motion Detection System Employing Directional-Edge-Based Motion Field Representations},
year={2010},
volume={E93-D},
number={1},
pages={94-106},
abstract={In this paper, a motion field representation algorithm based on directional edge information has been developed. This work is aiming at building an ego-motion detection system using dedicated VLSI chips developed for real time motion field generation at low powers . Directional edge maps are utilized instead of original gray-scale images to represent local features of an image and to detect the local motion component in a moving image sequence. Motion detection by edge histogram matching has drastically reduced the computational cost of block matching, while achieving a robust performance of the ego-motion detection system under dynamic illumination variation. Two kinds of feature vectors, the global motion vector and the component distribution vectors, are generated from a motion field at two different scales and perspectives. They are jointly utilized in the hierarchical classification scheme employing multiple-clue matching. As a result, the problems of motion ambiguity as well as motion field distortion caused by camera shaking during video capture have been resolved. The performance of the ego-motion detection system was evaluated under various circumstances, and the effectiveness of this work has been verified.},
keywords={},
doi={10.1587/transinf.E93.D.94},
ISSN={1745-1361},
month={January},}
Salinan
TY - JOUR
TI - An Ego-Motion Detection System Employing Directional-Edge-Based Motion Field Representations
T2 - IEICE TRANSACTIONS on Information
SP - 94
EP - 106
AU - Jia HAO
AU - Tadashi SHIBATA
PY - 2010
DO - 10.1587/transinf.E93.D.94
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2010
AB - In this paper, a motion field representation algorithm based on directional edge information has been developed. This work is aiming at building an ego-motion detection system using dedicated VLSI chips developed for real time motion field generation at low powers . Directional edge maps are utilized instead of original gray-scale images to represent local features of an image and to detect the local motion component in a moving image sequence. Motion detection by edge histogram matching has drastically reduced the computational cost of block matching, while achieving a robust performance of the ego-motion detection system under dynamic illumination variation. Two kinds of feature vectors, the global motion vector and the component distribution vectors, are generated from a motion field at two different scales and perspectives. They are jointly utilized in the hierarchical classification scheme employing multiple-clue matching. As a result, the problems of motion ambiguity as well as motion field distortion caused by camera shaking during video capture have been resolved. The performance of the ego-motion detection system was evaluated under various circumstances, and the effectiveness of this work has been verified.
ER -