Filtering and Smoothing for Motion Trajectory of Feature Point Using Non-Gaussian State Space Model
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E84-D No.6 pp.755-759
- Publication Date
- 2001/06/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Image Processing, Image Pattern Recognition
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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
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@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},}
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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 -
English
