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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 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
host publication
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
conference location
La Coruna, Spain
conference dates
2006-07-10 - 2006-07-12
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
2019-04-07 04:29:06
@inproceedings{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},
  location     = {La Coruna, Spain},
  pages        = {135--140},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Velocity measurement by a vision sensor},
  url          = {http://dx.doi.org/10.1109/CIMSA.2006.250771},
  year         = {2006},
}