In formulating the motion constraint equation, we implicitly take it for granted that the spatial and temporal sampling intervals are very small. In real situations, since the intervals cannot be considered sufficiently small, an error will be introduced into the constraint equation and consequently the velocity estimate will be subject to an error due to inaccuracy of the constraint equation. We perform some experiments to analyze the effect of sampling interval on motion estimation. The understanding of experimental results will provide an insight into necessity and amount of image filtering prior to the application of motion estimation.
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Jung-Hee LEE, Seong-Dae KIM, "The Effect of Sampling Interval on Motion Estimation" in IEICE TRANSACTIONS on Fundamentals,
vol. E76-A, no. 4, pp. 653-656, April 1993, doi: .
Abstract: In formulating the motion constraint equation, we implicitly take it for granted that the spatial and temporal sampling intervals are very small. In real situations, since the intervals cannot be considered sufficiently small, an error will be introduced into the constraint equation and consequently the velocity estimate will be subject to an error due to inaccuracy of the constraint equation. We perform some experiments to analyze the effect of sampling interval on motion estimation. The understanding of experimental results will provide an insight into necessity and amount of image filtering prior to the application of motion estimation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e76-a_4_653/_p
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@ARTICLE{e76-a_4_653,
author={Jung-Hee LEE, Seong-Dae KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={The Effect of Sampling Interval on Motion Estimation},
year={1993},
volume={E76-A},
number={4},
pages={653-656},
abstract={In formulating the motion constraint equation, we implicitly take it for granted that the spatial and temporal sampling intervals are very small. In real situations, since the intervals cannot be considered sufficiently small, an error will be introduced into the constraint equation and consequently the velocity estimate will be subject to an error due to inaccuracy of the constraint equation. We perform some experiments to analyze the effect of sampling interval on motion estimation. The understanding of experimental results will provide an insight into necessity and amount of image filtering prior to the application of motion estimation.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - The Effect of Sampling Interval on Motion Estimation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 653
EP - 656
AU - Jung-Hee LEE
AU - Seong-Dae KIM
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E76-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 1993
AB - In formulating the motion constraint equation, we implicitly take it for granted that the spatial and temporal sampling intervals are very small. In real situations, since the intervals cannot be considered sufficiently small, an error will be introduced into the constraint equation and consequently the velocity estimate will be subject to an error due to inaccuracy of the constraint equation. We perform some experiments to analyze the effect of sampling interval on motion estimation. The understanding of experimental results will provide an insight into necessity and amount of image filtering prior to the application of motion estimation.
ER -