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Velocity measurement by a vision sensor

Malki, Suleyman LU ; Deepak, G; Mohanna, V; Ringhofer, M and Spaanenburg, Lambert LU (2006) IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA), 2006 In 2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE Cat. No. 06EX1332) p.135-140
Abstract
Vision sensors are of increasing interest for non-intrusive, 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 field-programmable gate-array. The final prototype can isolate a moving object and measure its velocity at a speed of 250 frames per second
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
network-on-chip, cellular neural network, movement isolation, movement detection, image understanding, velocity measurement, field-programmable gate-array, vision sensor, embedded system, text recognition, moving object
in
2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE Cat. No. 06EX1332)
pages
6 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA), 2006
external identifiers
  • WOS:000246038000023
  • Scopus:34250776029
ISBN
1-4244-0245-X
DOI
10.1109/CIMSA.2006.250771
language
English
LU publication?
yes
id
a2f8dd95-988e-4c74-b36b-c65755d9adb1 (old id 617106)
date added to LUP
2007-11-24 11:46:27
date last changed
2016-10-13 04:41:31
@misc{a2f8dd95-988e-4c74-b36b-c65755d9adb1,
  abstract     = {Vision sensors are of increasing interest for non-intrusive, 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 field-programmable gate-array. The final prototype can isolate a moving object and measure its velocity at a speed of 250 frames per second},
  author       = {Malki, Suleyman and Deepak, G and Mohanna, V and Ringhofer, M and Spaanenburg, Lambert},
  isbn         = {1-4244-0245-X},
  keyword      = {network-on-chip,cellular neural network,movement isolation,movement detection,image understanding,velocity measurement,field-programmable gate-array,vision sensor,embedded system,text recognition,moving object},
  language     = {eng},
  pages        = {135--140},
  publisher    = {ARRAY(0xd388f50)},
  series       = {2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE Cat. No. 06EX1332)},
  title        = {Velocity measurement by a vision sensor},
  url          = {http://dx.doi.org/10.1109/CIMSA.2006.250771},
  year         = {2006},
}