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 the Library Catalogue
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.
|Research Areas:||Middlesex University Schools and Centres > School of Science and Technology > Computer Science|
Middlesex University Schools and Centres > School of Science and Technology > Computer Science > SensoLab group
Middlesex University Schools and Centres > School of Science and Technology > Computer Science > Intelligent Environments group
|Deposited On:||29 Jun 2010 06:41|
|Last Modified:||10 Dec 2014 20:25|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year