Owens, Jonathan and Hunter, Andrew and Fletcher, Eric (2002) A fast model-free morphology-based object tracking algorithm. In: British Machine Vision Conference 2002, 2nd-5th September 2002, University of Cardiff.

Preview

PDF bmvc2002f.pdf - Whole Document Download (341Kb)

Abstract

This paper describes the multiple object tracking component of an automated CCTV surveillance system. The system tracks objects, and alerts the operator if unusual trajectories are discovered. Objects are detected by background differencing. Low contrast levels can present problems, leading to poor object segmentation and fragmentation, particularly on older analogue surveillance networks. The model-free tracking algorithm described in this paper addresses object fragmentation, and the object merging that occurs when proximate objects segment to the same connected component.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	This paper describes the multiple object tracking component of an automated CCTV surveillance system. The system tracks objects, and alerts the operator if unusual trajectories are discovered. Objects are detected by background differencing. Low contrast levels can present problems, leading to poor object segmentation and fragmentation, particularly on older analogue surveillance networks. The model-free tracking algorithm described in this paper addresses object fragmentation, and the object merging that occurs when proximate objects segment to the same connected component.
Keywords:	Algorithm, surveillance, Computer vision
Subjects:	G Mathematical and Computer Sciences > G760 Machine Learning
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Computer Science
Depositing User:	Tammie Farley
Date Deposited:	23 Jun 2009 14:32
Last Modified:	13 Mar 2013 08:32
URI:	http://eprints.lincoln.ac.uk/id/eprint/1909

Actions (login required)

View Item