A Comparative Study of Block Matching Optical Flow Algorithms
A Comparative Study of Block Matching Optical Flow Algorithms
Author(s): Ramona Mariş, Raluca Brad, Remus BradSubject(s): ICT Information and Communications Technologies
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: optical flo; block matching; comparative study; motion estimation
Summary/Abstract: The paper presents a study of existing Block Matching Optical Flow algorithms, which estimate the motion from an image sequence. The seven algorithms selected for our performance and comparative study (ES, TSS, SETSS, NTSS, FSS, DS and ARPS) are finding a minimum cost match between the current image reference block and one of the considered blocks in the next image. The benchmark used for the performance testing was the Middlebury Dataset, with the conclusions leading to a parameters and algorithm selection criteria.
Journal: TEM Journal
- Issue Year: 6/2017
- Issue No: 4
- Page Range: 760-770
- Page Count: 11
- Language: English
