Pre-processor for bioinspired optical flow models: a customizable hardware implementation

Author

Botella, Guillermo ; Ros, Eduardo ; Rodriguez, Manuel ; Garcia, Antonio ; Romero, Samuel

Author_Institution

Dept. of Comput. Archit. & Autom., Universidad Complutense de Madrid

fYear

2006

fDate

16-19 May 2006

Firstpage

93

Lastpage

96

Abstract

Nature has optimized the processing of visual information, especially in primates. The estimation of optical flow is a complex task that gives information about ego-motion, and permits tracking objects from a given scene. The multi-channel spatio-temporal filtering required to detect motion is suitable for a parallel implementation on reconfigurable circuitry. We detail here the design of a neuromorphic FPGA implementation of the pre-processing stages for optical flow estimation that permits highly parallel real-time filtering

Keywords

field programmable gate arrays; filtering theory; image sequences; motion estimation; neural nets; bioinspired optical flow model pre-processor; customizable hardware implementation; ego-motion information; highly parallel real-time filtering; motion detection; multi-channel spatio-temporal filtering; neuromorphic FPGA; object tracking; optical flow estimation; reconfigurable circuitry; visual information processing; Biomedical optical imaging; Circuits; Filtering; Hardware; Image motion analysis; Layout; Motion detection; Neuromorphics; Optical design; Optical filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference, 2006. MELECON 2006. IEEE Mediterranean

Conference_Location

Malaga

Print_ISBN

1-4244-0087-2

Type

conf

DOI

10.1109/MELCON.2006.1653044

Filename

1653044