Visual surveillance is a major interest in the Centre, cutting across several other themes. We specialize in a variety of statistical, machine learning, and biologically-inspired approaches to surveillance, and in embedded systems developments of these approaches. We are applying these techniques in a diverse range of areas, including security surveillance, care of the elderly or vulnerable, medical diagnosis, and monitoring of wildlife.
In the BRAINS project, we are developing embedded systems for surveillance, following on from our US Homeland-Security sponsored Aborat project. The Nectar project considers the use of autonomous visual monitoring at home to identify potentially significant events for vulnerable elderly people. Initially supported by the EPSRC, the project is currently entering a prototyping phase with funding from the East Midlands Development Agency.
Investigators
- Patrick Dickinson
- Kofi Appiah
- Hongying Meng
- Andrew Hunter
External Cooperation
- Nectar Ltd
- SecuraCorp llc, Seattle
Representative Publications
Dickinson, P. and Hunter, A. (2005): Scene modelling using an adaptive mixture of Gaussians in colour and space, Proc. IEEE Conference on Advanced Video and Signal based Surveillance Conference, 15-15 September, Como, Italy, IEEE, 0-7803-9385-6, pp. 64- 69.
Meng H., Pears N. and Bailey C. (2007), A human action recognition system for embedded computer vision application, Proceeding of IEEE CVPR 2007 (The third IEEE Workshop on Embedded Computer Vision, 23 June 2007, Minneapolis, Minnesota, USA).
Humphreys, J. and Hunter, A. (2008): Multiple object tracking using a neural cost function, Image and Vision Computing, Elsevier, on-line doi:10.1016/j.imavis.2008.06.002.
Search Publications using ePrints: http://eprints.lincoln.ac.uk