Investigation of a new method for improving image resolution for camera tracking applications

Hamza Alzarok, Simon Fletcher, Andrew Longstaff, Alan Myers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Camera based systems have been a preferred choice in many motion tracking applications due to the ease of installation and the ability to work in unprepared environments. The concept of these systems is based on extracting image information (colour and shape properties) to detect the object location. However, the resolution of the image and the camera field-of-view (FOV) are two main factors that can restrict the tracking applications for which these systems can be used. Resolution can be addressed partially by using higher resolution cameras but this may not always be possible or cost effective. This research paper investigates a new method utilising averaging of offset images to improve the effective resolution using a standard camera. The initial results show that the minimum detectable position change of a tracked object could be improved by up to 4 times.

LanguageEnglish
Title of host publicationLaser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015
EditorsL. Blunt, H. N. Hansen
Publishereuspen
Pages40-50
Number of pages11
ISBN (Electronic)9780956679055
Publication statusPublished - 17 Mar 2015
Event11th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance - , United Kingdom
Duration: 17 Mar 201518 Mar 2015
Conference number: 11

Conference

Conference11th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance
Abbreviated titleLAMDAMAP 2015
CountryUnited Kingdom
Period17/03/1518/03/15

Fingerprint

image resolution
cameras
installing
field of view
costs
color
high resolution

Cite this

Alzarok, H., Fletcher, S., Longstaff, A., & Myers, A. (2015). Investigation of a new method for improving image resolution for camera tracking applications. In L. Blunt, & H. N. Hansen (Eds.), Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015 (pp. 40-50). euspen.
Alzarok, Hamza ; Fletcher, Simon ; Longstaff, Andrew ; Myers, Alan. / Investigation of a new method for improving image resolution for camera tracking applications. Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015. editor / L. Blunt ; H. N. Hansen. euspen, 2015. pp. 40-50
@inproceedings{2724ed9d021f4f478cd73cd6b1f9f4c4,
title = "Investigation of a new method for improving image resolution for camera tracking applications",
abstract = "Camera based systems have been a preferred choice in many motion tracking applications due to the ease of installation and the ability to work in unprepared environments. The concept of these systems is based on extracting image information (colour and shape properties) to detect the object location. However, the resolution of the image and the camera field-of-view (FOV) are two main factors that can restrict the tracking applications for which these systems can be used. Resolution can be addressed partially by using higher resolution cameras but this may not always be possible or cost effective. This research paper investigates a new method utilising averaging of offset images to improve the effective resolution using a standard camera. The initial results show that the minimum detectable position change of a tracked object could be improved by up to 4 times.",
keywords = "cameras, Coordinate measuring machine (CMM), cost effectiveness, image resolution, machine tools, units of measurement",
author = "Hamza Alzarok and Simon Fletcher and Andrew Longstaff and Alan Myers",
year = "2015",
month = "3",
day = "17",
language = "English",
pages = "40--50",
editor = "L. Blunt and Hansen, {H. N.}",
booktitle = "Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015",
publisher = "euspen",

}

Alzarok, H, Fletcher, S, Longstaff, A & Myers, A 2015, Investigation of a new method for improving image resolution for camera tracking applications. in L Blunt & HN Hansen (eds), Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015. euspen, pp. 40-50, 11th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance, United Kingdom, 17/03/15.

Investigation of a new method for improving image resolution for camera tracking applications. / Alzarok, Hamza; Fletcher, Simon; Longstaff, Andrew; Myers, Alan.

Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015. ed. / L. Blunt; H. N. Hansen. euspen, 2015. p. 40-50.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Investigation of a new method for improving image resolution for camera tracking applications

AU - Alzarok, Hamza

AU - Fletcher, Simon

AU - Longstaff, Andrew

AU - Myers, Alan

PY - 2015/3/17

Y1 - 2015/3/17

N2 - Camera based systems have been a preferred choice in many motion tracking applications due to the ease of installation and the ability to work in unprepared environments. The concept of these systems is based on extracting image information (colour and shape properties) to detect the object location. However, the resolution of the image and the camera field-of-view (FOV) are two main factors that can restrict the tracking applications for which these systems can be used. Resolution can be addressed partially by using higher resolution cameras but this may not always be possible or cost effective. This research paper investigates a new method utilising averaging of offset images to improve the effective resolution using a standard camera. The initial results show that the minimum detectable position change of a tracked object could be improved by up to 4 times.

AB - Camera based systems have been a preferred choice in many motion tracking applications due to the ease of installation and the ability to work in unprepared environments. The concept of these systems is based on extracting image information (colour and shape properties) to detect the object location. However, the resolution of the image and the camera field-of-view (FOV) are two main factors that can restrict the tracking applications for which these systems can be used. Resolution can be addressed partially by using higher resolution cameras but this may not always be possible or cost effective. This research paper investigates a new method utilising averaging of offset images to improve the effective resolution using a standard camera. The initial results show that the minimum detectable position change of a tracked object could be improved by up to 4 times.

KW - cameras

KW - Coordinate measuring machine (CMM)

KW - cost effectiveness

KW - image resolution

KW - machine tools

KW - units of measurement

UR - http://www.scopus.com/inward/record.url?scp=84947081312&partnerID=8YFLogxK

M3 - Conference contribution

SP - 40

EP - 50

BT - Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015

A2 - Blunt, L.

A2 - Hansen, H. N.

PB - euspen

ER -

Alzarok H, Fletcher S, Longstaff A, Myers A. Investigation of a new method for improving image resolution for camera tracking applications. In Blunt L, Hansen HN, editors, Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015. euspen. 2015. p. 40-50