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Classifying and detecting group behaviour from visual surveillance data

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conference contribution
posted 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.

History

Pagination

602 - 604

Location

Brisbane, Qld.

Open access

  • Yes

Start date

1998-08-16

End date

1998-08-20

ISBN-13

9780818685132

ISBN-10

0818685131

Language

eng

Notes

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Publication classification

E1.1 Full written paper - refereed

Copyright notice

1998, IEEE

Editor/Contributor(s)

A Jain, S Venkatesh, B Lovell

Title of proceedings

ICPR 1998 : Proceedings of the 14th International Conference on Pattern Recognition