Authors: Cucchiara, Rita; Prati, Andrea; Vezzani, Roberto; Benini, Luca; Farella, Elisabetta; Zappi, Piero

Source: Journal of Ubiquitous Computing and Intelligence, Volume 1, Number 2, December 2007 , pp. 187-196(10)

Publisher: American Scientific Publishers

Abstract:

To enhance video surveillance systems, multi-modal sensor integration can be a successful strategy. In this work, a computer vision system able to detect and track people from multiple cameras is integrated with a wireless sensor network mounting passive Pyroelectric InfraRed sensors. The two subsystems are briefly described and possible cases in which computer vision algorithms are likely to fail are discussed. Then, simple but reliable outputs from the sensor nodes are exploited to improve the accuracy of the vision system. In particular, two case studies are reported: the first uses the presence detection of sensors to disambiguate between an open door and a moving person, while the second handles motion direction changes during occlusions. Preliminary results are reported and demonstrate the usefulness of the integration of the two subsystems.

Keywords: SENSOR NETWORK; PYROELECTRIC INFRARED SENSORS; MULTIPLE CAMERAS; TRACKING; VIDEO SURVEILLANCE

Document Type: Research article

DOI: http://dx.doi.org/10.1166/juci.2007.209

Publication date: 2007-12-01

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• JUCI addresses the most innovative researches and developments in this multidiscipline and includes all aspects related to ubiquitous computing and ubiquitous intelligence as well as the smart world, with emphasis on methodologies, models, semantics, awareness, architectures, middleware, tools, designs, implementations, experiments, evaluations, and non-technical but crucial factors in the practical applications of ubiquitous computing and intelligence related to economics, society, culture, ethics and so on.
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