venkatesh-classifyingand-1998.pdf (180.37 kB)
Classifying and detecting group behaviour from visual surveillance data
conference contributionposted on 1998-01-01, 00:00 authored by R Hosie, Svetha VenkateshSvetha Venkatesh, G West
We outline an approach to classifying and detecting behaviours from surveillance data. Simple pairwise movement patterns are learned and used as building blocks to describe behaviour over a temporal sequence, or compared with other pairs to detect group behaviour. As the pair primitives are easy to redefine and learn, and complex behaviour over time is specified by the user as a sequence of pair primitives, this approach provides a flexible yet robust method of detecting complex movement in a wide variety of domains.
EventInternational Conference on Pattern Recognition (14th : 1998 : Brisbane, Qld.)
Pagination602 - 604
Place of publicationLos Alamitos, Calif.
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Publication classificationE1.1 Full written paper - refereed
Copyright notice1998, IEEE
Editor/Contributor(s)A Jain, S Venkatesh, B Lovell
Title of proceedingsICPR 1998 : Proceedings of the 14th International Conference on Pattern Recognition
CategoriesNo categories selected
group behaviour detectionimage segmentationlearning systemspair primitivespairwise movement patternspattern classificationtarget trackingtemporal sequencevisual surveillance systemScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Interdisciplinary ApplicationsComputer Science