Real-time global motion vectors estimation based on phase correlation and gray projection algorithm

Liu Yangke; Jifu De; Li Bo; Xu Qizhi

doi:10.1109/CISP.2009.5301480

Real-time global motion vectors estimation based on phase correlation and gray projection algorithm

Liu Yangke^*
, Jifu De
, Li Bo
, Xu Qizhi

^*Corresponding author for this work

School of Computer Science and Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

In this paper, a novel algorithm based on phase correlation and gray-scale projection is proposed to estimate the global motion vectors between each two consecutive image frames in jitter videos. In the algorithm, phase correlation is used firstly to estimate the approximate global motion vectors. Then the gray-scale projection algorithm based on the results of the phase correlation is used to generate the accurate global motion vectors. This algorithm has the characteristic of low computation load, high precision, wide range and strong anti-jamming. The experiments results demonstrate that the proposed algorithm can generate accurate global motion vectors with errors less than one pixel in real time for the jitter video sequence with the size of 704x576.

Original language	English
Title of host publication	Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
DOIs	https://doi.org/10.1109/CISP.2009.5301480
State	Published - 2009
Event	2009 2nd International Congress on Image and Signal Processing, CISP'09 - Tianjin, China Duration: 17 Oct 2009 → 19 Oct 2009

Publication series

Name	Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09

Conference

Conference	2009 2nd International Congress on Image and Signal Processing, CISP'09
Country/Territory	China
City	Tianjin
Period	17/10/09 → 19/10/09

Keywords

Global motion vectors
Gray projection algorithm
Local motion vectors
Phase correlation

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10.1109/CISP.2009.5301480

Cite this

Yangke, L., De, J., Bo, L., & Qizhi, X. (2009). Real-time global motion vectors estimation based on phase correlation and gray projection algorithm. In Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09 Article 5301480 (Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09). https://doi.org/10.1109/CISP.2009.5301480

@inproceedings{6bb9b053c7ab4ec19ca4fc18422a462e,

title = "Real-time global motion vectors estimation based on phase correlation and gray projection algorithm",

abstract = "In this paper, a novel algorithm based on phase correlation and gray-scale projection is proposed to estimate the global motion vectors between each two consecutive image frames in jitter videos. In the algorithm, phase correlation is used firstly to estimate the approximate global motion vectors. Then the gray-scale projection algorithm based on the results of the phase correlation is used to generate the accurate global motion vectors. This algorithm has the characteristic of low computation load, high precision, wide range and strong anti-jamming. The experiments results demonstrate that the proposed algorithm can generate accurate global motion vectors with errors less than one pixel in real time for the jitter video sequence with the size of 704x576.",

keywords = "Global motion vectors, Gray projection algorithm, Local motion vectors, Phase correlation",

author = "Liu Yangke and Jifu De and Li Bo and Xu Qizhi",

year = "2009",

doi = "10.1109/CISP.2009.5301480",

language = "英语",

isbn = "9781424441310",

series = "Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09",

booktitle = "Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09",

note = "2009 2nd International Congress on Image and Signal Processing, CISP'09 ; Conference date: 17-10-2009 Through 19-10-2009",

}

Yangke, L, De, J, Bo, L & Qizhi, X 2009, Real-time global motion vectors estimation based on phase correlation and gray projection algorithm. in Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09., 5301480, Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09, 2009 2nd International Congress on Image and Signal Processing, CISP'09, Tianjin, China, 17/10/09. https://doi.org/10.1109/CISP.2009.5301480

Real-time global motion vectors estimation based on phase correlation and gray projection algorithm. / Yangke, Liu; De, Jifu; Bo, Li et al.
Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09. 2009. 5301480 (Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Real-time global motion vectors estimation based on phase correlation and gray projection algorithm

AU - Yangke, Liu

AU - De, Jifu

AU - Bo, Li

AU - Qizhi, Xu

PY - 2009

Y1 - 2009

N2 - In this paper, a novel algorithm based on phase correlation and gray-scale projection is proposed to estimate the global motion vectors between each two consecutive image frames in jitter videos. In the algorithm, phase correlation is used firstly to estimate the approximate global motion vectors. Then the gray-scale projection algorithm based on the results of the phase correlation is used to generate the accurate global motion vectors. This algorithm has the characteristic of low computation load, high precision, wide range and strong anti-jamming. The experiments results demonstrate that the proposed algorithm can generate accurate global motion vectors with errors less than one pixel in real time for the jitter video sequence with the size of 704x576.

AB - In this paper, a novel algorithm based on phase correlation and gray-scale projection is proposed to estimate the global motion vectors between each two consecutive image frames in jitter videos. In the algorithm, phase correlation is used firstly to estimate the approximate global motion vectors. Then the gray-scale projection algorithm based on the results of the phase correlation is used to generate the accurate global motion vectors. This algorithm has the characteristic of low computation load, high precision, wide range and strong anti-jamming. The experiments results demonstrate that the proposed algorithm can generate accurate global motion vectors with errors less than one pixel in real time for the jitter video sequence with the size of 704x576.

KW - Global motion vectors

KW - Gray projection algorithm

KW - Local motion vectors

KW - Phase correlation

UR - https://www.scopus.com/pages/publications/73849103482

U2 - 10.1109/CISP.2009.5301480

DO - 10.1109/CISP.2009.5301480

M3 - 会议稿件

AN - SCOPUS:73849103482

SN - 9781424441310

T3 - Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09

BT - Proceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09

T2 - 2009 2nd International Congress on Image and Signal Processing, CISP'09

Y2 - 17 October 2009 through 19 October 2009

ER -

Real-time global motion vectors estimation based on phase correlation and gray projection algorithm

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