Security operators are increasingly interested in solutions that can provide an automatic understanding of potentially crowded public environments. In this paper, an on-going research is presented, on building a complex system consists of three main components: human security operators carrying sensors, mobile robotic platforms carrying sensors and network of fixed sensors (i.e. cameras) installed in the environment. The main objectives of this research are: 1) to develop models and solutions for an intelligent integration of sensorial information coming from different sources, 2) to develop effective human-robot interaction methods in the paradigm multi-human vs. multi-robot, 3) to integrate all these components in a system that allows for robust and efficient coordination among robots, vision sensors and human guards, in order to enhance surveillance in crowded public environments. Copyright © 2011, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Smart monitoring of complex public scenes: Collaboration between human guards, security network and robotic platforms / Iocchi, Luca; Monekosso, D. N.; Nardi, Daniele; Nicolescu, M.; Remagnino, P.; Valera Espina, M.. - STAMPA. - FS-11-05:(2011), pp. 14-19. (Intervento presentato al convegno 2011 AAAI Fall Symposium tenutosi a Arlington, VA; USA nel 04-06 November 2011).
Smart monitoring of complex public scenes: Collaboration between human guards, security network and robotic platforms
IOCCHI, Luca;NARDI, Daniele;
2011
Abstract
Security operators are increasingly interested in solutions that can provide an automatic understanding of potentially crowded public environments. In this paper, an on-going research is presented, on building a complex system consists of three main components: human security operators carrying sensors, mobile robotic platforms carrying sensors and network of fixed sensors (i.e. cameras) installed in the environment. The main objectives of this research are: 1) to develop models and solutions for an intelligent integration of sensorial information coming from different sources, 2) to develop effective human-robot interaction methods in the paradigm multi-human vs. multi-robot, 3) to integrate all these components in a system that allows for robust and efficient coordination among robots, vision sensors and human guards, in order to enhance surveillance in crowded public environments. Copyright © 2011, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.File | Dimensione | Formato | |
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