[vslist] Studentship for posting - thanks

[Nigel Allinson]

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 at umist.ac.uk)

or

Dr Paul Goddard,
Department of Psychology,
University of Lincoln,
Brayford Pool,
Lincoln LN6 7TS
(Tel: 01522 886 280, Email: pgoddard at 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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