VOTING-BASED MOTION ESTIMATION

Alexandru Ilinu (), Cristian Avatavului (), Giorgiana Violeta Vlä‚sceanu () and Costin-Anton Boiangiu ()
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Alexandru Ilinu: Politehnica University of Bucharest, Bucharest, Romania
Cristian Avatavului: Politehnica University of Bucharest, Bucharest, Romania
Giorgiana Violeta Vlä‚sceanu: Politehnica University of Bucharest, Bucharest, Romania
Costin-Anton Boiangiu: Politehnica University of Bucharest, Bucharest, Romania

Journal of Information Systems & Operations Management, 2020, vol. 14, issue 1, 82-92

Abstract: Motion estimation is an essential topic in computer vision, having a large number of applications, such as tracking and video compression, to name a few. This paper presents a voting-based motion estimation algorithm that combines two categories of methods, namely dense methods (optical flow) and sparse methods (block-matching). The obtained results proved that the proposed approach is fast, robust and reliable, thus being suitable for integration in unsupervised video processing systems.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:14:y:2020:i:1:p:82-92

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