Deakin University
Browse
venkatesh-classifyingand-1998.pdf (180.37 kB)

Classifying and detecting group behaviour from visual surveillance data

Download (180.37 kB)
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

Event

International Conference on Pattern Recognition (14th : 1998 : Brisbane, Qld.)

Pagination

602 - 604

Publisher

IEEE

Location

Brisbane, Qld.

Place of publication

Los Alamitos, Calif.

Start date

1998-08-16

End date

1998-08-20

ISBN-13

9780818685132

ISBN-10

0818685131

Language

eng

Notes

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

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