A stochastic approach to tracking objects across multiple cameras
Date
2004
Authors
Dick, A.
Brooks, M.
Editors
Webb, G.
Yu, X.
Yu, X.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004 / Webb, G., Yu, X. (ed./s), vol.3339, pp.160-170
Statement of Responsibility
Anthony R. Dick and Michael J. Brooks
Conference Name
Australian Joint Conference on Artificial Intelligence (17th : 2004 : Cairns, Qld.)
DOI
Abstract
This paper is about tracking people in real-time as they move through the non-overlapping fields of view of multiple video cameras. The paper builds upon existing methods for tracking moving objects in a single camera. The key extension is the use of a stochastic transition matrix to describe peoples observed patterns of motion both within and between fields of view. The parameters of the model for a particular environment are learnt simply by observing a person moving about in that environment. No knowledge of the environment or the configuration of the cameras is required.
School/Discipline
Dissertation Note
Provenance
Description
The original publication is available at www.springerlink.com