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
영상 시퀀스에서 특징점의 움직임 궤적에 대해 비가우시안 상태 공간 모델을 사용한 필터링 및 평활화를 제안합니다. 모션 궤적에서 이상값의 영향을 줄이기 위해 측정 노이즈에 두꺼운 꼬리를 갖는 비가우시안 분포가 사용됩니다. 제안된 방법의 유용성을 보여주기 위해 실험 결과를 제시한다.
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부
Naoyuki ICHIMURA, Norikazu IKOMA, "Filtering and Smoothing for Motion Trajectory of Feature Point Using Non-Gaussian State Space Model" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 6, pp. 755-759, June 2001, doi: .
Abstract: Filtering and smoothing using a non-Gaussian state space model are proposed for motion trajectory of feature point in image sequence. A heavy-tailed non-Gaussian distribution is used for measurement noise to reduce the effect of outliers in motion trajectory. Experimental results are presented to show the usefulness of the proposed method.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_6_755/_p
부
@ARTICLE{e84-d_6_755,
author={Naoyuki ICHIMURA, Norikazu IKOMA, },
journal={IEICE TRANSACTIONS on Information},
title={Filtering and Smoothing for Motion Trajectory of Feature Point Using Non-Gaussian State Space Model},
year={2001},
volume={E84-D},
number={6},
pages={755-759},
abstract={Filtering and smoothing using a non-Gaussian state space model are proposed for motion trajectory of feature point in image sequence. A heavy-tailed non-Gaussian distribution is used for measurement noise to reduce the effect of outliers in motion trajectory. Experimental results are presented to show the usefulness of the proposed method.},
keywords={},
doi={},
ISSN={},
month={June},}
부
TY - JOUR
TI - Filtering and Smoothing for Motion Trajectory of Feature Point Using Non-Gaussian State Space Model
T2 - IEICE TRANSACTIONS on Information
SP - 755
EP - 759
AU - Naoyuki ICHIMURA
AU - Norikazu IKOMA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2001
AB - Filtering and smoothing using a non-Gaussian state space model are proposed for motion trajectory of feature point in image sequence. A heavy-tailed non-Gaussian distribution is used for measurement noise to reduce the effect of outliers in motion trajectory. Experimental results are presented to show the usefulness of the proposed method.
ER -