DocumentCode
953260
Title
A micropower centroiding vision processor
Author
Constandinou, Timothy G. ; Toumazou, Christofer
Author_Institution
Inst. of Biomed. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
Volume
41
Issue
6
fYear
2006
fDate
6/1/2006 12:00:00 AM
Firstpage
1430
Lastpage
1443
Abstract
A biologically-inspired hybrid vision chip is presented for real-time object-based processing for tasks such as centroiding, sizing and counting of enclosed objects. This system presents the first silicon retina capable of centroiding and sizing multiple objects in true parallel fashion. Based on a novel distributed algorithm, this approach uses the input image to enclose a feedback loop to realize a data-driven pulsating action. The sensor provides a resolution of 48 × 48 pixels with a 85 μm×85 μm pixel footprint and has been measured to consume 243 μW at 1.8-V supply, achieving an equivalent computational efficiency of 724.64 MIPS/mW with a 500-μs process time.
Keywords
CMOS image sensors; distributed algorithms; object detection; parallel processing; 1.8 V; 2304 pixels; 243 muW; 48 pixels; 500 mus; CMOS image sensor; biologically-inspired hybrid vision chip; centroiding; distributed algorithm; feedback loop; focal plane processing; object detection; parallel processing; real-time object-based processing; Cellular neural networks; Computational efficiency; Distributed algorithms; Filtering; Image processing; Object detection; Object segmentation; Retina; Silicon; Target tracking; CMOS image sensor; Centroiding; distributed algorithm; focal plane processing; micropower; object detection; parallel processing; silicon retina; target tracking; vision chip;
fLanguage
English
Journal_Title
Solid-State Circuits, IEEE Journal of
Publisher
ieee
ISSN
0018-9200
Type
jour
DOI
10.1109/JSSC.2006.874330
Filename
1637607
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