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Master thesis

Génération des événements primitifs dans une plateforme de reconnaissance d'activités.

Narjes Ghrairi 1 
1 STARS - Spatio-Temporal Activity Recognition Systems
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Detection and activity-analysis systems have become important in various applications such as public or private monitoring space as well as intelligent technologies of maintenance and monitoring of people, mainly used in the field of health care. These systems are based on tools for computer vision technologies and integrate the intelligent use of environmental sensors. This type of systems is based on a synchronous model. The used data come from the cognitive vision platform SUP, developed in Stars team, and other environmental sensors. These signals come in an asynchronous mode, each has its own clock, and thus interfacing these entries with a synchronous module raises theoretical and technical problems. So, the objective of this study is to design a machine that could calculate the synchronous instants of asynchronous events. The machine's tests executed on real examples developed at the University Hospital (CHU) of Nice have led to positive results, as the machine has been able to calculate the right logic moment necessary for the synchronous engines of activity recognition.
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Master thesis
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Submitted on : Thursday, October 10, 2013 - 4:50:22 PM
Last modification on : Saturday, June 25, 2022 - 11:11:45 PM
Long-term archiving on: : Saturday, January 11, 2014 - 4:21:23 AM


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  • HAL Id : hal-00871836, version 1



Narjes Ghrairi. Génération des événements primitifs dans une plateforme de reconnaissance d'activités.. Informatique et langage [cs.CL]. 2013. ⟨hal-00871836⟩



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