Abstract
Population over 50 will rise by 35% until 2050. Thus, attention to the needs of the elderly and disabled is today in all developed countries one of the great challenges of social and economic policies. There is a worldwide interest in systems for the analysis of people’s activities, especially those most in need.
Vision systems for surveillance and behaviour analysis have spread in recent years. While cameras are widely used in outdoor environments there are few employed in private spaces, being replaced by other devices that provide fewer information. This is mainly due to people worries about maintaining privacy and their feeling of being continuously monitored by “big brother”.
We propose a methodology for the design of a multisensor network in private spaces that meets privacy requirements. People would accept video-based surveillance and safety services if the system can ensure their privacy under any circumstance, as a kind of “good brother”.
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Padilla-López, J.R., Flórez-Revuelta, F., Monekosso, D.N., Remagnino, P. (2012). The “Good” Brother: Monitoring People Activity in Private Spaces. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., Rodríguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_7
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DOI: https://doi.org/10.1007/978-3-642-28765-7_7
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