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

Hamza Alzarok; Simon Fletcher; Andrew Longstaff; Alan Myers

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 proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Laser Metrology and Machine Performance XI - 11th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance, LAMDAMAP 2015
Editors	L. Blunt, H. N. Hansen
Publisher	euspen
Pages	40-50
Number of pages	11
ISBN (Electronic)	9780956679055
Publication status	Published - 17 Mar 2015
Event	11th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance - Huddersfield, United Kingdom Duration: 17 Mar 2015 → 18 Mar 2015 Conference number: 11

Conference

Conference	11th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance
Abbreviated title	LAMDAMAP 2015
Country/Territory	United Kingdom
City	Huddersfield
Period	17/03/15 → 18/03/15

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http://eprints.hud.ac.uk/id/eprint/23847/Licence: Unspecified

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. http://eprints.hud.ac.uk/id/eprint/23847/

Alzarok, Hamza ; Fletcher, Simon ; Longstaff, Andrew et al. / 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",

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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",

address = "United Kingdom",

note = "11th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance, LAMDAMAP 2015 ; Conference date: 17-03-2015 Through 18-03-2015",

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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, Huddersfield, United Kingdom, 17/03/15. <http://eprints.hud.ac.uk/id/eprint/23847/>

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

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 proceeding › Conference contribution › peer-review

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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

N1 - Conference code: 11

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.

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KW - Coordinate measuring machine (CMM)

KW - cost effectiveness

KW - image resolution

KW - machine tools

KW - units of measurement

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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.

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PB - euspen

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ER -

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

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