Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Conference paper
Title: Activity topology estimation for large networks of cameras
Author: Van Den Hengel, A.
Dick, A.
Hill, R.
Citation: Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, Sydney, Australia, 22-24 November 2006 / p.44
Publisher: IEEE
Publisher Place: CDROM
Issue Date: 2006
ISBN: 0769526888
Conference Name: IEEE International Conference on Advanced Video and Signal Based Surveillance (2006 : Sydney Australia)
Statement of
van den Hengel, A.; Dick, A.; Hill, R.
Abstract: Estimating the paths that moving objects can take through the fields of view of possibly non-overlapping cameras, also known as their activity topology, is an important step in the effective interpretation of surveillance video. Existing approaches to this problem involve tracking moving objects within cameras, and then attempting to link tracks across views. In contrast we propose an approach which begins by assuming all camera views are potentially linked, and successively eliminates camera topologies that are contradicted by observed motion. Over time, the true patterns of motion emerge as those which are not contradicted by the evidence. These patterns may then be used to initialise a finer level search using other approaches if required. This method thus represents an efficient and effective way to learn activity topology for a large network of cameras, particularly with a limited amount of data.
Description: Copyright © 2006 IEEE
RMID: 0020062660
DOI: 10.1109/AVSS.2006.17
Appears in Collections:Computer Science publications

Files in This Item:
File Description SizeFormat 
hdl_35999.pdf247.84 kBAuthor's pre-printView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.