Enhanced gradient-based motion vector coprocessor

Author

Botella, Guillermo ; Garcìa, Antonio ; Meyer-Baese, Uwe ; Rodrìguez, Manuel ; Molina, M. Carmen ; Parrilla, Luis

Author_Institution

Dept. of Electr. & Comput. Electron., FAMU-FSU Coll. of Eng., Tallahassee, FL, USA

fYear

2009

fDate

Aug. 31 2009-Sept. 2 2009

Firstpage

687

Lastpage

690

Abstract

The present work describes a reliable improved gradient optical flow estimation system using FPGAs. This structure is based on space-temporal processing and the use of steerable filters. This model can be enhanced using psychophysical and bioinspired properties according to biological vision in order to mimic the singularity and the performance of mammalians. Experimental results and the resources used to analyze the associate customizability of the system are discussed.

Keywords

coprocessors; field programmable gate arrays; filtering theory; image sequences; motion estimation; FPGA; biological vision; gradient optical flow estimation system; gradient-based motion vector coprocessor; motion estimation; space-temporal processing; steerable filter; Biomedical optical imaging; Computer architecture; Convolution; Coprocessors; Filter bank; Motion estimation; Optical computing; Optical filters; Optical noise; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Field Programmable Logic and Applications, 2009. FPL 2009. International Conference on

Conference_Location

Prague

ISSN

1946-1488

Print_ISBN

978-1-4244-3892-1

Electronic_ISBN

1946-1488

Type

conf

DOI

10.1109/FPL.2009.5272369

Filename

5272369