Computer vision for ambient intelligence

Article type: Research Article

Authors: Salah, Albert Ali^; | Gevers, Theo | Sebe, Nicu | Vinciarelli, Alessandro

Affiliations: Informatics Institute – ISLA, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands | Informatics Institute – ISLA, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands, E-mail: th.gevers@uva.nl | Department of Information Engineering and Computer Science, University of Trento, Via Sommarive, 14 I-38123 Povo, Italy, E-mail: nicu.sebe@disi.unitn.it | Department of Computing Science, University of Glasgow, Glasgow G12 8QQ, Scotland, E-mail: vincia@dcs.gla.ac.uk

Note: [] Corresponding author. E-mail: a.a.salah@uva.nl.

Abstract: A natural way of conceptualizing ambient intelligence is by picturing an active environment with access to perceptual input, not via eyes and ears, but by their technological counterparts. Computer vision is an essential part of building context-aware environments that adapt and anticipate their human users by understanding their behavior. This thematic issue explores state-of-the-art computer vision approaches for ambient intelligence applications.

Keywords: Computer vision, ambient intelligence, activity analysis, object detection, gesture recognition

DOI: 10.3233/AIS-2011-0113

Journal: Journal of Ambient Intelligence and Smart Environments, vol. 3, no. 3, pp. 187-191, 2011