DocumentCode
981738
Title
Analog VLSI focal-plane array with dynamic connections for the estimation of piecewise-smooth optical flow
Author
Stocker, Alan A.
Author_Institution
Center for Neural Sci., New York Univ., NY, USA
Volume
51
Issue
5
fYear
2004
fDate
5/1/2004 12:00:00 AM
Firstpage
963
Lastpage
973
Abstract
An analog very large-scale integrated (aVLSI) sensor is presented that is capable of estimating optical flow while detecting and preserving motion discontinuities. The sensor´s architecture is composed of two recurrently connected networks. The units in the first network (the optical-flow network) collectively estimate two-dimensional optical flow, where the strength of their nearest-neighbor coupling determines the degree of motion integration. While the coupling strengths in our previous implementations were globally set and adjusted by the operator, they are now dynamically and locally controlled by a second on-chip network (the motion-discontinuity network). The coupling strengths are set such that visual motion integration is inhibited across image locations that are likely to represent motion boundaries. Results of a prototype sensor illustrate the potential of the approach and its functionality under real-world conditions.
Keywords
VLSI; cellular neural nets; computer vision; image sequences; motion estimation; aVLSI sensor; analog VLSI focal-plane array; cellular neural networks; coupling; dynamic connections; image locations; motion boundaries; motion discontinuities; motion segmentation; motion-discontinuity network; neuromorphic; optical-flow network; piecewise-smooth optical flow estimation; recurrent feedback; sensor architecture; visual motion integration; Image motion analysis; Integrated optics; Motion detection; Motion estimation; Optical arrays; Optical detectors; Optical fiber networks; Optical network units; Optical sensors; Very large scale integration; Cellular neural networks; dynamic connectivity; gradient descent; line process; motion discontinuities; motion segmentation; neuromorphic; optimization; recurrent feedback;
fLanguage
English
Journal_Title
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher
ieee
ISSN
1549-8328
Type
jour
DOI
10.1109/TCSI.2004.827619
Filename
1296808
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