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Proceedings Paper

A generic flexible and robust approach for intelligent real-time video-surveillance systems
Author(s): Xavier Desurmont; Jean-Francois Delaigle; Arnaud Bastide; Benoit Macq
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Paper Abstract

In this article we present a generic, flexible and robust approach for an intelligent real-time video-surveillance system. A previous version of the system was presented in [1]. The goal of these advanced tools is to provide help to operators by detecting events of interest in visual scenes and highlighting alarms and compute statistics. The proposed system is a multi-camera platform able to handle different standards of video inputs (composite, IP, IEEE1394 ) and which can basically compress (MPEG4), store and display them. This platform also integrates advanced video analysis tools, such as motion detection, segmentation, tracking and interpretation. The design of the architecture is optimised to playback, display, and process video flows in an efficient way for video-surveillance application. The implementation is distributed on a scalable computer cluster based on Linux and IP network. It relies on POSIX threads for multitasking scheduling. Data flows are transmitted between the different modules using multicast technology and under control of a TCP-based command network (e.g. for bandwidth occupation control). We report here some results and we show the potential use of such a flexible system in third generation video surveillance system. We illustrate the interest of the system in a real case study, which is the indoor surveillance.

Paper Details

Date Published: 18 May 2004
PDF: 8 pages
Proc. SPIE 5297, Real-Time Imaging VIII, (18 May 2004); doi: 10.1117/12.526876
Show Author Affiliations
Xavier Desurmont, Multitel ASBL (Belgium)
Jean-Francois Delaigle, Multitel ASBL (Belgium)
Arnaud Bastide, Multitel ASBL (Belgium)
Benoit Macq, Univ. Catholique de Louvain (Belgium)

Published in SPIE Proceedings Vol. 5297:
Real-Time Imaging VIII
Nasser Kehtarnavaz; Phillip A. Laplante, Editor(s)

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