Pattern recognition of noisy sequences of behavioural events using functional combinators.

Clark, Tony (1994) Pattern recognition of noisy sequences of behavioural events using functional combinators. The Computer Journal, 37 (5). pp. 385-398. ISSN 0010-4620

Full text is not in this repository.

This item is available in: Library Catalogue

Abstract

Vision systems are now delivering real-time tracked and classified data from which behaviours can be inferred. Behavioural specifications of observable entities are viewed as attribute grammars with general constraints on the values of the attributes. The characteristics features of realistic input data to a behavioural recogniser are missing, inserted and noisy values. Behaviour recognition is defined in terms of a simple language which is used to express behaviour specifications. The meaning of a specification is given by a mapping to the set of observable value sequences which exhibit the specified behaviour. A computational mechanism for behaviour recognition, which is consistent with the meaning of behaviour specifications, is given using a simple functional programming language which has been enriched with non-deterministic features. The non-determinism is controlled using a simple belief mechanism.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Intelligent Environments Research Group
A. > School of Science and Technology > Computer Science > SensoLab group
Item ID: 6165
Depositing User: Devika Mohan
Date Deposited: 29 Jun 2010 06:41
Last Modified: 13 Oct 2016 14:20
URI: http://eprints.mdx.ac.uk/id/eprint/6165

Actions (login required)

Edit Item Edit Item