[vslist] Studentship for posting - thanks
Nigel Allinson
allinson@umist.ac.uk
Tue Jul 8 12:07:00 2003
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EPSRC Industrial Case Studentship
Detection and Recognition in Low Contrast and Enhanced Video
UMIST & University of Lincoln
Department of Electronics, UMIST, Manchester - Prof N M Allinson
Department of Psychology, University of Lincoln, Lincoln - Dr P Goddard
(In association with Dmist Technologies Ltd, Manchester - Dr J P
Oakley)
Unique technology, developed at UMIST and now being exploited by Dmist
Technologies Ltd, permits the real-time enhancement of video obtained
under adverse viewing conditions, such as haze, mist, rain and smoke.
The enhanced video is capable of displaying the full natural colours of
the scene and can be fitted to existing camera systems. The
application of this technology encompasses many fields such as road,
air and sea traffic monitoring, security and surveillance systems, and
search- and-rescue vehicles.
This enhancement of video in poor visibility conditions does
significantly affect detection/recognition performance, and its
demonstrated capabilities will have a major impact on our understanding
of the human visual system. From the operational point of view, it is
important to possess clear methodology for assessing the advantages of
Dmist's approach in each application context and are able to provide
potential end-users with performance metrics.
Working closely with Dmist's technical staff, UMIST engineers, visual
psychophysicists and psychologists, the research student will:
* Survey theories of human visual perception relating to event/object
detection and recognition.
* Develop experimental and analysis techniques to assess subject
performance under laboratory conditions.
* Further the understanding of the HVS for detection and recognition.
* Develop experimental and analysis techniques to assess CCTV operator
performance under natural conditions.
* Produce practical, standardised procedures and reporting formats for
diverse application sectors.
This project will provide a unique opportunity for a student with a
psychology or related cognitive science background to contribute to the
further development of a unique technology as well as explore some
fundamental issues of human vision.
It is expected that the majority of the work will take place at the
University of Lincoln, and there will be an opportunity for additional
career development at one of the UK's leading independent research and
development organisations.
The standard EPSRC bursary will be augmented by additional payments
from Dmist Technologies Ltd. The prospective home/EU student should
possess a 1st or 2(1) class degree in psychology or cognate discipline.
Please quote reference EEE/S/51 in your application - include a CV and
contact details of two referees. Closing date 25 July 2003.
For further details, please contact:
Professor Nigel M Allinson,
Vision and Information Processing Research Group,
UMIST,
PO Box 88,
Manchester M60 1QD
(Tel: 0161 200 4641, Email: n.m.allinson@umist.ac.uk)
or
Dr Paul Goddard,
Department of Psychology,
University of Lincoln,
Brayford Pool,
Lincoln LN6 7TS
(Tel: 01522 886 280, Email: pgoddard@lincoln.ac.uk).
Please quote reference: EEE/S/51.
________________________________________
| Nigel M Allinson
| Professor of Image Engineering
| UMIST, PO Box 88
| Manchester, M60 1QD, UK
|
| Phone: (+44) (0) 161 200 4641
| Fax: (+44) (0) 161 200 4784
| Mobile: 0771 470 3125
|________________________________________
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<fontfamily><param>Courier</param>EPSRC Industrial Case Studentship
Detection and Recognition in Low Contrast and Enhanced Video
UMIST & University of Lincoln
Department of Electronics, UMIST, Manchester - Prof N M Allinson
Department of Psychology, University of Lincoln, Lincoln - Dr P
Goddard
(In association with Dmist Technologies Ltd, Manchester - Dr J P
Oakley)
Unique technology, developed at UMIST and now being exploited by Dmist
Technologies Ltd, permits the real-time enhancement of video obtained
under adverse viewing conditions, such as haze, mist, rain and smoke.
The enhanced video is capable of displaying the full natural colours
of the scene and can be fitted to existing camera systems. The
application of this technology encompasses many fields such as road,
air and sea traffic monitoring, security and surveillance systems, and
search- and-rescue vehicles.
This enhancement of video in poor visibility conditions does
significantly affect detection/recognition performance, and its
demonstrated capabilities will have a major impact on our
understanding of the human visual system. From the operational point
of view, it is important to possess clear methodology for assessing
the advantages of Dmist's approach in each application context and are
able to provide potential end-users with performance metrics.
Working closely with Dmist's technical staff, UMIST engineers, visual
psychophysicists and psychologists, the research student will:
* Survey theories of human visual perception relating to event/object
detection and recognition.
* Develop experimental and analysis techniques to assess subject
performance under laboratory conditions.
* Further the understanding of the HVS for detection and recognition.
* Develop experimental and analysis techniques to assess CCTV operator
performance under natural conditions.
* Produce practical, standardised procedures and reporting formats for
diverse application sectors.
This project will provide a unique opportunity for a student with a
psychology or related cognitive science background to contribute to
the further development of a unique technology as well as explore some
fundamental issues of human vision.
It is expected that the majority of the work will take place at the
University of Lincoln, and there will be an opportunity for additional
career development at one of the UK's leading independent research and
development organisations.
The standard EPSRC bursary will be augmented by additional payments
from Dmist Technologies Ltd. The prospective home/EU student should
possess a 1st or 2(1) class degree in psychology or cognate
discipline. Please quote reference EEE/S/51 in your application -
include a CV and contact details of two referees. Closing date 25
July 2003.
For further details, please contact:
Professor Nigel M Allinson,
Vision and Information Processing Research Group,
UMIST,
PO Box 88,
Manchester M60 1QD
(Tel: 0161 200 4641, Email: n.m.allinson@umist.ac.uk)
or
Dr Paul Goddard,
Department of Psychology,
University of Lincoln,
Brayford Pool,
Lincoln LN6 7TS
(Tel: 01522 886 280, Email: pgoddard@lincoln.ac.uk).
Please quote reference: EEE/S/51.
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________________________________________
| Nigel M Allinson
| Professor of Image Engineering
| UMIST, PO Box 88
| Manchester, M60 1QD, UK
|
| Phone: (+44) (0) 161 200 4641
| Fax: (+44) (0) 161 200 4784
| Mobile: 0771 470 3125
|________________________________________
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