Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/29513
Type: | Conference paper |
Title: | Issues in automated visual surveillance |
Author: | Dick, A. Brooks, M. |
Citation: | Digital image computing : techniques and applications ; proceedings of the VIIth Biennial Australian Pattern Recognition Society Conference, DICTA 2003 / Changming Sun, Hugues Talbot, Sébastien Ourselin, Tony Adriaansen (eds.), vol. 1, pp. 195-203 |
Publisher: | CSIRO |
Publisher Place: | Australia |
Issue Date: | 2003 |
ISBN: | 0643090398 |
Conference Name: | Australian Pattern Recognition Society. Conference (7th : 2003 : Sydney, N.S.W.) |
Editor: | Sun, C. Talbot, H. Ourselin, S. Adriaansen, T. |
Statement of Responsibility: | Anthony R. Dick and Michael J. Brooks |
Abstract: | The usefulness of networks of surveillance cameras is primarily limited by the demand placed on human supervisors to monitor many real time video feeds simultaneously. The goal of automated visual surveillance is to reduce the burden on operators by including software in a surveillance system that can analyse video content automatically. This paper reviews progress in the field and considers some of the major remaining problems in automated video surveillance. |
Description (link): | http://www.sigmod.org/dblp/db/conf/dicta/dicta2003.html |
Published version: | http://www.cmis.csiro.au/Hugues.Talbot/dicta2003/cdrom/pdf/0195.pdf |
Appears in Collections: | Aurora harvest 2 Computer Science publications |
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