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Proceedings Paper

Evaluation of a method for invariant and automated detection and tracking of objects from video
Author(s): Lena M. Klasen; Haibo Li; Robert Forchheimer
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Paper Abstract

Video generates a rich set of image information and often the useful information is only a very limited set of the available information. Another well-known fact is that visually reviewing of long video recording is a time demanding task. In combination with the continuously increasing number of video surveillance systems, this leads to an increasing need for automated analysis of long image sequences. The goal for this work is to develop and evaluate a method for automatic detection and tracking of events recorded onto a surveillance video, such as appearance of persons or vehicles in a surveyed area, to evaluate the usefulness for forensic applications and real time applications.

Paper Details

Date Published: 21 February 2001
PDF: 9 pages
Proc. SPIE 4232, Enabling Technologies for Law Enforcement and Security, (21 February 2001); doi: 10.1117/12.417563
Show Author Affiliations
Lena M. Klasen, Linkoping Univ. and Defence Research Establishment (Sweden)
Haibo Li, Univ. of Umea and Linkoping Univ. (Sweden)
Robert Forchheimer, Linkoping Univ. (Sweden)


Published in SPIE Proceedings Vol. 4232:
Enabling Technologies for Law Enforcement and Security
Simon K. Bramble; Lenny I. Rudin; Simon K. Bramble; Edward M. Carapezza; Lenny I. Rudin, Editor(s)

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