Velocity measurement by a vision sensor

Suleyman Malki; G Deepak; V Mohanna; M Ringhofer; Lambert Spaanenburg

doi:10.1109/CIMSA.2006.250771

Velocity measurement by a vision sensor

Suleyman Malki, G Deepak, V Mohanna, M Ringhofer, Lambert Spaanenburg

Department of Electrical and Information Technology

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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

Original language	English
Title of host publication	2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE Cat. No. 06EX1332)
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	135-140
Number of pages	6
ISBN (Print)	1-4244-0245-X
DOIs	https://doi.org/10.1109/CIMSA.2006.250771
Publication status	Published - 2006
Event	IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA), 2006 - La Coruna, Spain Duration: 2006 Jul 10 → 2006 Jul 12

Conference

Conference	IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA), 2006
Country/Territory	Spain
City	La Coruna
Period	2006/07/10 → 2006/07/12

Subject classification (UKÄ)

Electrical Engineering, Electronic Engineering, Information Engineering

Free 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

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10.1109/CIMSA.2006.250771

Cite this

Malki, S., Deepak, G., Mohanna, V., Ringhofer, M., & Spaanenburg, L. (2006). Velocity measurement by a vision sensor. In 2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE Cat. No. 06EX1332) (pp. 135-140). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIMSA.2006.250771

@inproceedings{a2f8dd95988e4c74b36bc65755d9adb1,

title = "Velocity measurement by a vision sensor",

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",

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",

author = "Suleyman Malki and G Deepak and V Mohanna and M Ringhofer and Lambert Spaanenburg",

year = "2006",

doi = "10.1109/CIMSA.2006.250771",

language = "English",

isbn = "1-4244-0245-X",

pages = "135--140",

booktitle = "2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE Cat. No. 06EX1332)",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA), 2006 ; Conference date: 10-07-2006 Through 12-07-2006",

}

Malki, S, Deepak, G, Mohanna, V, Ringhofer, M & Spaanenburg, L 2006, Velocity measurement by a vision sensor. in 2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE Cat. No. 06EX1332). IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 135-140, IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA), 2006, La Coruna, Spain, 2006/07/10. https://doi.org/10.1109/CIMSA.2006.250771

Velocity measurement by a vision sensor. / Malki, Suleyman; Deepak, G; Mohanna, V et al.
2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE Cat. No. 06EX1332). IEEE - Institute of Electrical and Electronics Engineers Inc., 2006. p. 135-140.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Velocity measurement by a vision sensor

AU - Malki, Suleyman

AU - Deepak, G

AU - Mohanna, V

AU - Ringhofer, M

AU - Spaanenburg, Lambert

PY - 2006

Y1 - 2006

N2 - 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

AB - 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

KW - network-on-chip

KW - cellular neural network

KW - movement isolation

KW - movement detection

KW - image understanding

KW - velocity measurement

KW - field-programmable gate-array

KW - vision sensor

KW - embedded system

KW - text recognition

KW - moving object

U2 - 10.1109/CIMSA.2006.250771

DO - 10.1109/CIMSA.2006.250771

M3 - Paper in conference proceeding

SN - 1-4244-0245-X

SP - 135

EP - 140

BT - 2006 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE Cat. No. 06EX1332)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA), 2006

Y2 - 10 July 2006 through 12 July 2006

ER -

Velocity measurement by a vision sensor

Abstract

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Subject classification (UKÄ)

Free keywords

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