RT Journal Article
T1 Context-based scene recognition from visual data in smart homes: an Information Fusion approach
A1 Gómez Romero, Juan
A1 Serrano, Miguel Á.
A1 Patricio Guisado, Miguel Ángel
A1 García, Jesús
A1 Molina, José M.
AB Ambient Intelligence (AmI) aims at the development of computational systems that process data acquired by sensors embedded in the environment to support users in everyday tasks. Visual sensors, however, have been scarcely used in this kind of applications, even though they provide very valuable information about scene objects: position, speed, color, texture, etc. In this paper, we propose a cognitive framework for the implementation of AmI applications based on visual sensor networks. The framework, inspired by the Information Fusion paradigm, combines a priori context knowledge represented with ontologies with real time single camera data to support logic-based high-level local interpretation of the current situation. In addition, the system is able to automatically generate feedback recommendations to adjust data acquisition procedures. Information about recognized situations is eventually collected by a central node to obtain an overall description of the scene and consequently trigger AmI services. We show the extensible and adaptable nature of the approach with a prototype system in a smart home scenario.
PB Springer
SN 1617-4909 (print)
SN 1617-4917 (online)
YR 2012
FD 2012-10
LK https://hdl.handle.net/10016/18296
UL https://hdl.handle.net/10016/18296
LA eng
NO This research activity is supported in part byProjects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, CAM CONTEXTS (S2009/TIC-1485) andDPS2008-07029-C02-02.
DS e-Archivo
RD 19 may. 2024