Velocity-Field Measurement by Pixel-Based Temporal Mutual-Correlation Analysis of Dynamic Image
Summary :
A new dynamic image processing technique is proposed for measuring the velocity-field of the translational motion of crowded particles. The local velocity at a target pixel-site is estimated by mutual-correlation analysis between the temporal brightness change of the target pixel and that of neighbouring pixels. The next-nearest 16 pixels are selected as the neighbouring pixels in this study. The direction and the speed of the particle motion are evaluated by the mutual-correlation function having maximum value and the lag time of the function, respectively. The usefulness of the proposed technique is examined by a simulation experiment (unidirectional motion) and an actual scene analysis (vortex motion). Obtained velocity-field of these motions are visualized with orientated lines, and the resulting fields are consistent with expected fields.
- Publication
- IEICE TRANSACTIONS on transactions Vol.E69-E No.8 pp.877-882
- Publication Date
- 1986/08/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Pattern Recognition and Learning
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Hidetoshi MIIKE, Yasushi KURIHARA, Hajime HASHIMOTO, Kazutoshi KOGA, "Velocity-Field Measurement by Pixel-Based Temporal Mutual-Correlation Analysis of Dynamic Image" in IEICE TRANSACTIONS on transactions,
vol. E69-E, no. 8, pp. 877-882, August 1986, doi: .
Abstract: A new dynamic image processing technique is proposed for measuring the velocity-field of the translational motion of crowded particles. The local velocity at a target pixel-site is estimated by mutual-correlation analysis between the temporal brightness change of the target pixel and that of neighbouring pixels. The next-nearest 16 pixels are selected as the neighbouring pixels in this study. The direction and the speed of the particle motion are evaluated by the mutual-correlation function having maximum value and the lag time of the function, respectively. The usefulness of the proposed technique is examined by a simulation experiment (unidirectional motion) and an actual scene analysis (vortex motion). Obtained velocity-field of these motions are visualized with orientated lines, and the resulting fields are consistent with expected fields.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e69-e_8_877/_p
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@ARTICLE{e69-e_8_877,
author={Hidetoshi MIIKE, Yasushi KURIHARA, Hajime HASHIMOTO, Kazutoshi KOGA, },
journal={IEICE TRANSACTIONS on transactions},
title={Velocity-Field Measurement by Pixel-Based Temporal Mutual-Correlation Analysis of Dynamic Image},
year={1986},
volume={E69-E},
number={8},
pages={877-882},
abstract={A new dynamic image processing technique is proposed for measuring the velocity-field of the translational motion of crowded particles. The local velocity at a target pixel-site is estimated by mutual-correlation analysis between the temporal brightness change of the target pixel and that of neighbouring pixels. The next-nearest 16 pixels are selected as the neighbouring pixels in this study. The direction and the speed of the particle motion are evaluated by the mutual-correlation function having maximum value and the lag time of the function, respectively. The usefulness of the proposed technique is examined by a simulation experiment (unidirectional motion) and an actual scene analysis (vortex motion). Obtained velocity-field of these motions are visualized with orientated lines, and the resulting fields are consistent with expected fields.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Velocity-Field Measurement by Pixel-Based Temporal Mutual-Correlation Analysis of Dynamic Image
T2 - IEICE TRANSACTIONS on transactions
SP - 877
EP - 882
AU - Hidetoshi MIIKE
AU - Yasushi KURIHARA
AU - Hajime HASHIMOTO
AU - Kazutoshi KOGA
PY - 1986
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E69-E
IS - 8
JA - IEICE TRANSACTIONS on transactions
Y1 - August 1986
AB - A new dynamic image processing technique is proposed for measuring the velocity-field of the translational motion of crowded particles. The local velocity at a target pixel-site is estimated by mutual-correlation analysis between the temporal brightness change of the target pixel and that of neighbouring pixels. The next-nearest 16 pixels are selected as the neighbouring pixels in this study. The direction and the speed of the particle motion are evaluated by the mutual-correlation function having maximum value and the lag time of the function, respectively. The usefulness of the proposed technique is examined by a simulation experiment (unidirectional motion) and an actual scene analysis (vortex motion). Obtained velocity-field of these motions are visualized with orientated lines, and the resulting fields are consistent with expected fields.
ER -
English
