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

Article


Clark, T. 1994. Pattern recognition of noisy sequences of behavioural events using functional combinators. The Computer Journal. 37 (5), pp. 385-398. https://doi.org/10.1093/comjnl/37.5.385
TypeArticle
TitlePattern recognition of noisy sequences of behavioural events using functional combinators.
AuthorsClark, T.
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.

Research GroupResearch Group on Development of Intelligent Environments
SensoLab group
PublisherBritish Computer Society
JournalThe Computer Journal
ISSN0010-4620
Publication dates
Print1994
Publication process dates
Deposited29 Jun 2010
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1093/comjnl/37.5.385
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/82xz7

  • 32
    total views
  • 0
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as