Title :
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
fDate :
Aug. 31 2009-Sept. 2 2009
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;
Conference_Titel :
Field Programmable Logic and Applications, 2009. FPL 2009. International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4244-3892-1
Electronic_ISBN :
1946-1488
DOI :
10.1109/FPL.2009.5272369
