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
이미지 시퀀스에서 움직이는 물체의 속도를 추정하는 것은 속도 측정, 컴퓨터 비전 및 모니터링 시스템과 같은 다양한 응용 분야에 유용합니다. 효과적인 방법은 3차원 신호 처리 문제를 1차원 복합 신호 처리로 변환하는 변환/시공간 혼합 도메인(MixeD)에서 접근하는 것입니다. 그러나 속도 추정 및 객체 감지의 정확성에 영향을 미칠 수 있는 MixeD에서 여러 공간 주파수 지점을 선택하는 방법은 여전히 문제로 남아 있습니다. 본 논문에서는 MixeD에 있는 여러 포인트 중에서 적절한 공간 주파수 포인트를 자동으로 선택할 수 있는 공간 주파수 선택 방법을 제안하였다. 따라서 속도 추정 문제는 경험에 의해 선택된 여러 지점에 대한 스펙트럼 에너지 평면을 검색하는 것 외에 2차원 공간 주파수 영역에서 선택된 두 개의 적절한 지점에 대해 설정된 결합 방정식을 풀어서 해결할 수 있습니다. 이 방법에서는 하나의 움직이는 객체와 두 개의 움직이는 객체가 있는 이미지 시퀀스에 해당하는 평가 함수를 먼저 설정하고 설정된 평가 함수를 임계값과 함께 사용하여 선택합니다. 시뮬레이션 결과는 제안한 방법이 적절한 공간주파수 선택에 효과적임을 보여준다.
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부
Shengli WU, Nozomu HAMADA, "An Appropriate Spatial Frequency Selection Method for Moving Object Velocity Estimation in the Mixed Domain" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 11, pp. 2348-2356, November 2000, doi: .
Abstract: To estimate moving object velocity in an image sequence is useful for a variety of applications, such as velocity measurement, computer vision and monitoring systems. An effective way is to approach it in the transform/spatiotemporal mixed domain (MixeD), which transforms the 3-D signal processing problem into 1-D complex signal processing. But it remains a problem how to select several spatial frequency points in the MixeD which may influence the accuracy of velocity estimation and object detection. In this paper, a spatial frequency selection method has been proposed, which can choose the appropriate spatial frequency points out of a number of points in MixeD automatically. So the velocity estimation problem can be addressed by solving the coupled equations established over two selected appropriate points in 2-D spatial frequency domain other than searching for the spectral energy plane over a number of points selected by experience. In this method, evaluation functions corresponding to image sequence with one moving object and two moving objects are established firstly, and the selection is then achieved by using the established evaluation functions together with a threshold. The simulation results show that the proposed method is effective on the appropriate spatial frequency selection.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_11_2348/_p
부
@ARTICLE{e83-a_11_2348,
author={Shengli WU, Nozomu HAMADA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Appropriate Spatial Frequency Selection Method for Moving Object Velocity Estimation in the Mixed Domain},
year={2000},
volume={E83-A},
number={11},
pages={2348-2356},
abstract={To estimate moving object velocity in an image sequence is useful for a variety of applications, such as velocity measurement, computer vision and monitoring systems. An effective way is to approach it in the transform/spatiotemporal mixed domain (MixeD), which transforms the 3-D signal processing problem into 1-D complex signal processing. But it remains a problem how to select several spatial frequency points in the MixeD which may influence the accuracy of velocity estimation and object detection. In this paper, a spatial frequency selection method has been proposed, which can choose the appropriate spatial frequency points out of a number of points in MixeD automatically. So the velocity estimation problem can be addressed by solving the coupled equations established over two selected appropriate points in 2-D spatial frequency domain other than searching for the spectral energy plane over a number of points selected by experience. In this method, evaluation functions corresponding to image sequence with one moving object and two moving objects are established firstly, and the selection is then achieved by using the established evaluation functions together with a threshold. The simulation results show that the proposed method is effective on the appropriate spatial frequency selection.},
keywords={},
doi={},
ISSN={},
month={November},}
부
TY - JOUR
TI - An Appropriate Spatial Frequency Selection Method for Moving Object Velocity Estimation in the Mixed Domain
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2348
EP - 2356
AU - Shengli WU
AU - Nozomu HAMADA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2000
AB - To estimate moving object velocity in an image sequence is useful for a variety of applications, such as velocity measurement, computer vision and monitoring systems. An effective way is to approach it in the transform/spatiotemporal mixed domain (MixeD), which transforms the 3-D signal processing problem into 1-D complex signal processing. But it remains a problem how to select several spatial frequency points in the MixeD which may influence the accuracy of velocity estimation and object detection. In this paper, a spatial frequency selection method has been proposed, which can choose the appropriate spatial frequency points out of a number of points in MixeD automatically. So the velocity estimation problem can be addressed by solving the coupled equations established over two selected appropriate points in 2-D spatial frequency domain other than searching for the spectral energy plane over a number of points selected by experience. In this method, evaluation functions corresponding to image sequence with one moving object and two moving objects are established firstly, and the selection is then achieved by using the established evaluation functions together with a threshold. The simulation results show that the proposed method is effective on the appropriate spatial frequency selection.
ER -