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Towards multimodal surveillance for smart building security

Academic Article
Publication Date:
2018
abstract:
The main goal of a surveillance system is to collect information in a sensing environment and notify unexpected behavior. Information provided by single sensor and surveillance technology may not be sufficient to understand the whole context of the monitored environment. On the other hand, by combining information coming from different sources, the overall performance of a surveillance system can be improved. In this paper, we present the Smart Building Suite, in which independent and different technologies are developed in order to realize a multimodal surveillance system.
Iris type:
01.01 Articolo in rivista
Keywords:
Security; Smart cameras; Surveillance; Face recognition; Face detection; Activity recognition; Deep features; Sensor fusion; Data fusion; Smart building; Sensor networks; Pervasive computing
List of contributors:
Leone, GIUSEPPE RICCARDO; Amato, Giuseppe; Ferro, Erina; Gennaro, Claudio; Moroni, Davide; Falchi, Fabrizio; Barsocchi, Paolo; Vairo, CLAUDIO FRANCESCO; Salvetti, Ovidio
Authors of the University:
AMATO GIUSEPPE
BARSOCCHI PAOLO
FALCHI FABRIZIO
GENNARO CLAUDIO
LEONE GIUSEPPE RICCARDO
MORONI DAVIDE
VAIRO CLAUDIO FRANCESCO
Handle:
https://iris.cnr.it/handle/20.500.14243/334771
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/334771/132193/prod_382338-doc_129898.pdf
Published in:
PROCEEDINGS (MDPI)
Journal
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URL

http://www.mdpi.com/2504-3900/2/2/95
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