Abstract

The general objective of the project is to study the capabilities of machine vision in proactive computing and to develop solutions needed for building emerging applications. An embedded vision module will be developed using a novel vision software architecture based on event analysis. It will be provided with machine vision skills for sensing and identifying humans and their actions in varying conditions and with capabilities to intelligently communicate with other units. The applicability of the module and its skills will be shown in an intelligent room equipped with multiple cooperating vision units, demonstrating complex capabilities built on simple modules.

Keywords: computer vision, image analysis, motion, visual tracking, face analysis, proactive computing

Web page: http://www.ee.oulu.fi/research/imag/proact/

Site visits: 31 March 2003, 17 May 2004

Press release in Finnish: 6.4.2005 Konenäköä voidaan käyttää opettajan apuna luokkahuoneessa

Press release in English: 6 April 2005 Machine vision can assist

Contact information and coordinators

Professor Matti Pietikäinen, University of Oulu
Professor Olli Silvén, University of Oulu

Viimeksi muokattu 20.9.2007

Lisätietoja

Englanniksi:

Ohjelman koordinaattorina toimi Greger Lindén.