1687-6180-2005-318538 1687-6180 Research Article <p>Design and Assessment of an Intelligent Activity Monitoring Platform</p> AvanziAlbertoalberto.avanzi@sophia.inria.fr BrémondFrançoisfrancois.bremond@sophia.inria.fr TornieriChristophechristophe.tornieri@sophia.inria.fr ThonnatMoniquemonique.thonnat@sophia.inria.fr

i-DTV Group, Bull SA, avenue Jean Jaurès, Les Clayes-Sous-Bois, 78340, France

ORION Group, INRIA Sophia Antipolis, 2004 route des Lucioles, B.P. 93, Sophia Antipolis Cedex, 06902, France

EURASIP Journal on Advances in Signal Processing 1687-6180 2005 2005 14 318538 http://asp.eurasipjournals.com/content/2005/14/318538 10.1155/ASP.2005.2359
261200425120052582005 2005Avanzi et al.This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. intelligent vision platform video surveillance autonomous system evaluation generic platform

We are interested in designing a reusable and robust activity monitoring platform. We propose three good properties that an activity monitoring platform should have to enable its reusability for different applications and to insure performance quality: (1) modularity and flexibility of the architecture, (2) separation between the algorithms and the a priori knowledge they use, and (3) automatic evaluation of algorithm results. We then propose a development methodology to fulfill the last two properties. The methodology consists in the interaction between end-users and developers during the whole development of a specific monitoring system. To validate our approach, we present a platform used to generate activity monitoring systems dedicated to specific applications, we also describe in details the technical validation and the end-user assessment of an automatic metro monitoring system built with the platform and briefly the validation results for bank agency monitoring and building access control.

Advances in Intelligent Vision Systems: Methods and Applications—Part II