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

被引：11

作者：

Botella, Guillermo ^{[1
]}

Ros, Eduardo ^{[2
]}

Rodriguez, Manuel ^{[2
]}

Garcia, Antonio ^{[3
]}

Romero, Samuel ^{[4
]}

机构：

[1] Univ Complutense Madrid, Dept Comp Architecture & Automat, E-28040 Madrid, Spain

[2] Univ Granada, Dept Comp Architecture & Technol, E-18071 Granada, Spain

[3] Univ Granada, Dept Elect & Comp Technol, E-18071 Granada, Spain

[4] Univ Jaen, Dept Comp Sci, Jaen, Spain

来源：

CIRCUITS AND SYSTEMS FOR SIGNAL PROCESSING , INFORMATION AND COMMUNICATION TECHNOLOGIES, AND POWER SOURCES AND SYSTEMS, VOL 1 AND 2, PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/MELCON.2006.1653044

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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 multichannel 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.

引用

页码：93 / 96

页数：4

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