DocumentCode
2814494
Title
Biological inspired CMOS foveated sensor: For neural network training
Author
Jeong, Yongwoo ; Titus, Albert H.
Author_Institution
Dept. of Electr. Eng., SUNY - Univ. at Buffalo, Buffalo, NY, USA
fYear
2011
fDate
22-24 Feb. 2011
Firstpage
183
Lastpage
187
Abstract
In this work we describe the design and testing of a custom CMOS-based motion detection system that derives its functionality from biology. The system will beone component of a CMOS visual sensor system that will identify and foveate on objects. The system is inspired by different animals that perform similar functions and have similar retinal structures. For example, we mimic frog´s eye using a hemispherical surface structure to provide a wider field of view. In addition, we mimic the human retina with a combination of fovea and peripheral light detectors. The result is a sensor array that combines these aspects to attend and foveate on objects of interest.
Keywords
CMOS image sensors; biosensors; motion estimation; object detection; sensor arrays; CMOS visual sensor; biosensor; foveate; motion detection system; object identification; peripheral light detectors; sensor array; Arrays; Differential amplifiers; Logic gates; Retina; Semiconductor device measurement; Tracking; Very large scale integration; CMOS; foveate; frog; hemispherical; motion sensor; retina;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors Applications Symposium (SAS), 2011 IEEE
Conference_Location
San Antonio, TX
Print_ISBN
978-1-4244-8063-0
Type
conf
DOI
10.1109/SAS.2011.5739779
Filename
5739779
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