Bulpitt, A. J. and Allinson, N. M. (1991) Motion perception and recognition using moving light displays. In: Second International Conference on Artificial Neural Networks, 18-20 November 1991, Bournemouth.
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Abstract
Despite the limited amount of information that is available to the observer of a moving light display, humans are able to infer detailed information about the activity and identity of the actors within the film. The development of a system, which uses such displays to recognise different types of human motion, is described using a spatio-temporal neural network to classify different temporal sequences of movement. ART architectures are employed to adapt and maintain the learned codes of the network providing real-time learning and stability against insignificant events
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Despite the limited amount of information that is available to the observer of a moving light display, humans are able to infer detailed information about the activity and identity of the actors within the film. The development of a system, which uses such displays to recognise different types of human motion, is described using a spatio-temporal neural network to classify different temporal sequences of movement. ART architectures are employed to adapt and maintain the learned codes of the network providing real-time learning and stability against insignificant events |
| Keywords: | Neural nets, Pattern recognition |
| Subjects: | G Mathematical and Computer Sciences > G730 Neural Computing G Mathematical and Computer Sciences > G740 Computer Vision |
| Divisions: | College of Sciences > Faculty of Science > Lincoln School of Computer Science |
| Depositing User: | Tammie Farley |
| Date Deposited: | 20 Apr 2012 11:48 |
| Last Modified: | 13 Mar 2013 09:06 |
| URI: | http://eprints.lincoln.ac.uk/id/eprint/5032 |
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