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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  1/2024 - 4

A New Motion Estimation Method using Modified Hexagonal Search Algorithm and Lucas-Kanade Optical Flow Technique

GHOUL, K. See more information about GHOUL, K. on SCOPUS See more information about GHOUL, K. on IEEExplore See more information about GHOUL, K. on Web of Science, ZAIDI, S. See more information about  ZAIDI, S. on SCOPUS See more information about  ZAIDI, S. on SCOPUS See more information about ZAIDI, S. on Web of Science, LABOUDI, Z. See more information about LABOUDI, Z. on SCOPUS See more information about LABOUDI, Z. on SCOPUS See more information about LABOUDI, Z. on Web of Science
 
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Download PDF pdficon (1,610 KB) | Citation | Downloads: 395 | Views: 303

Author keywords
block matching methods, computational vision, hexagonal search algorithm, Lucas and Kanade method, motion estimation

References keywords
motion(20), estimation(19), video(10), search(10), algorithm(9), flow(8), block(8), optical(7), image(7), fast(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2024-02-29
Volume 24, Issue 1, Year 2024, On page(s): 33 - 40
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2024.01004
SCOPUS ID: 85189487561

Abstract
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Block matching methods are one of the most widely used methods in motion estimation and compensation. In this work, we propose a new hybrid block matching motion estimation algorithm based on the Lucas and Kanade method as a distortion criterion to improve the accuracy of estimated motion. The proposed algorithm proceeds in three steps. In the first step, a small hexagonal pattern is used, in order to find the smaller motion vectors and thus fewer searching points. In the second step, the modified large hexagonal pattern is used to identify the direction of motion vectors. In the third step, the small hexagonal search pattern is used to refine the solution search. The proposed algorithm is tested on several both synthetic and real images sequences. The experimental results show that our proposal could achieve good performances in terms of amplitude and angular errors, prediction quality, and computational complexity, compared to some related works.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef]


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[CrossRef]


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[25] T. Z. Hamood, M. E. Abdulmunem, "A novel kite cross hexagonal search algorithm for fast block motion estimation," In: Journal of Physics: Conference Series. IOP Publishing, pp. 012026, 2021.
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References Weight

Web of Science® Citations for all references: 12,073 TCR
SCOPUS® Citations for all references: 13,342 TCR

Web of Science® Average Citations per reference: 389 ACR
SCOPUS® Average Citations per reference: 430 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-05-23 07:14 in 183 seconds.




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