FPGA implementation of a change-driven image processing architecture for optical flow computation

Julio C. Sosa, Rocío Gómez-Fabela, José A. Boluda, Fernando Pardo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Optical flow computation has been extensively used for object motion estimation in image sequences. However, the results obtained by most optical flow techniques are as accurate as computationally intensive due to the large amount of data involved. A new strategy for image sequence processing has been developed; pixels of the image sequence that significantly change fire the execution of the operations related to the image processing algorithm. The data reduction achieved with this strategy allows a significant optical flow computation speed up. Furthermore, FPGAs allow the implementation of a custom data-flow architecture specially suited for this strategy. The bases of the change-driven image processing are presented, as well as the hardware custom implementation.

Original languageEnglish
Title of host publicationProceedings - 2006 International Conference on Field Programmable Logic and Applications, FPL
Pages663-666
Number of pages4
DOIs
StatePublished - 2006
Externally publishedYes
Event2006 International Conference on Field Programmable Logic and Applications, FPL - Madrid, Spain
Duration: 28 Aug 200630 Aug 2006

Publication series

NameProceedings - 2006 International Conference on Field Programmable Logic and Applications, FPL

Conference

Conference2006 International Conference on Field Programmable Logic and Applications, FPL
Country/TerritorySpain
CityMadrid
Period28/08/0630/08/06

Fingerprint

Dive into the research topics of 'FPGA implementation of a change-driven image processing architecture for optical flow computation'. Together they form a unique fingerprint.

Cite this