Vol.6, No.4, November 2017.                                                                                                                                                                   ISSN: 2217-8309

                                                                                                                                                                                                                eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

A Comparative Study of Block Matching Optical Flow Algorithms


Ramona Mariş, Raluca Brad, Remus Brad


© 2017 Remus Brad, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 6, Issue 4, Pages 760-770, ISSN 2217-8309, DOI: 10.18421/TEM64-16, November 2017.


Received: 02 October 2017

Accepted: 27 October 2017

Published: 27 November 2017




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.


Keywords –optical flow, block matching, comparative study, motion estimation.



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