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A CNN hardware-only approach to speed measurement

Malki, Suleyman LU ; Deepak, Gajanana; Mohanna, Vincent; Ringhofer, Markus and Spaanenburg, Lambert LU (2006) SSoCC (Swedish System-on-Chip Conference), 2006
Abstract
Vision sensors are of increasing interest for non-destructive, remote measurements in industrial as well as consumer products. Their operation is based on intelligent techniques for image understanding, followed by robust quantification of the detected phenomenon. A well-known application area is movement detection and isolation. This paper discusses how movement can be detected and quantified by means of a single Cellular Neural Network, implemented as a Network-on-Chip and realized on a FPGA. The final hardware can measure up a moving object at a speed of 250 frames per second.
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author
organization
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Contribution to conference
publication status
published
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pages
4 pages
conference name
SSoCC (Swedish System-on-Chip Conference), 2006
language
English
LU publication?
yes
id
af7580d4-4f87-43e8-9e86-1e60371d1e70 (old id 1028972)
date added to LUP
2008-02-11 11:01:27
date last changed
2016-07-14 15:36:02
@misc{af7580d4-4f87-43e8-9e86-1e60371d1e70,
  abstract     = {Vision sensors are of increasing interest for non-destructive, remote measurements in industrial as well as consumer products. Their operation is based on intelligent techniques for image understanding, followed by robust quantification of the detected phenomenon. A well-known application area is movement detection and isolation. This paper discusses how movement can be detected and quantified by means of a single Cellular Neural Network, implemented as a Network-on-Chip and realized on a FPGA. The final hardware can measure up a moving object at a speed of 250 frames per second.},
  author       = {Malki, Suleyman and Deepak, Gajanana and Mohanna, Vincent and Ringhofer, Markus and Spaanenburg, Lambert},
  language     = {eng},
  pages        = {4},
  title        = {A CNN hardware-only approach to speed measurement},
  year         = {2006},
}