Dear Subscriber
A Research Assistant position is available in the DIRC labs at
Kingston University.
The position advert is attached to this email.
Kind regards
Dr Paolo Remagnino
Digital Imaging Research Centre
School of Computing and Information Systems
Kingston University
Penrhyn road
Kingston upon Thames=20
Surrey, KT1 2EE
telephone : +44 (0)20 8547 7930
facsimile: +44 (0)20 8547 7824
URL: www.king
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Researcher
Learning Computer Vision Systems
Digital Imaging Research Centre
School of Computing and Information Systems
Following the successful first stage of the European-funded project
ADVISOR (Annotated Digital Video for Intelligent Surveillance and
Optimised Retrieval), a position as a Researcher is likely to be
available from early 2002.The work is mainly concerned with the
investigation and validation of learning approaches for the monitoring
of pedestrians in public transport environments. These are part of a
general effort to improve safety and security through the deployment
of "intelligent" CCTV systems.
This is a large project involving five other European partners and
represents a major EU effort in distributed visual surveillance
systems targeted at improving quality of life in public
spaces. Demonstrators are planned in Brussels, Barcelona and London
metropolitan railways systems. Direct involvement with public
transport operators, manufacturers and system integrators provides an
environment where the results from scientific and technological
development can be tested in real scenarios.
The post is expected to commence in February/March 2002 and to be
available until the end of December 2002. The successful applicant is
likely to be involved in semantic aspects of behaviour analysis. Other
ADVISOR components provide image-derived information such as motion
detection, tracking of people and basic event descriptors from which
to build more complex behaviours. It is expected to involve
specifically work in one or more of the following aspects related to
learning behaviours of individuals and crowds important to operators
(e.g. overcrowding, vandalism, entry into forbidden areas):
* Identification, modelling and learning of behaviours: Investigation
of modelling techniques such as Bayes nets, Markov models and
stochastic grammars.
* Multiple camera behaviour recognition. Two cases will be considered:
(i) the simultaneous observation of a person by two cameras, and (ii)
the passing of a person from the view of one camera to another.
* Supervised learning. For the facilities necessary for feedback from
trained human operators to be used to optimise the performance of the
behaviour recognition and alarm generation software. This optimisation
will be achieved by using supervised learning in the choice of
algorithms and the adjustment of thresholds in the chosen algorithms
in order to improve behaviour recognition, and reduce false alarm
rates.
The ideal candidate would have a background in Computer Science or
similar subject, with a good publication record, proven ability to
work as part of a multi-disciplinary team and good written and oral
presentation skills.
For further details please contact either Dr. Paolo Remagnino
(p.remagnino@king.ac.uk) or Dr. Sergio Velastin
(sergio.velastin@kingston.ac.uk). The team is well known nationally
and internationally for its work on visual surveillance. Salary will
be up to 26,821 pa (depending on experience) including London
Weighting.
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