NDLI: Automatic reconfiguration of video sensor networks for optimal 3D coverage

Content Provider	IEEE Xplore Digital Library
Author	Piciarelli, C. Micheloni, C. Foresti, G.L.
Copyright Year	2011
Description	Author affiliation: University of Udine (Piciarelli, C.; Micheloni, C.; Foresti, G.L.)
Abstract	During the last years, the research in the field of video analytics has focused more and more on video sensor networks. Although single-sensor processing is still an open research field, practical applications nowadays require video analysis systems to explicitly consider multiple sensors at once, since the use of multiple sensors can lead to better algorithms for tracking, object recognition, etc. However, given a network of video sensors, it is not always clear how the network should be configured (in terms of sensor orientations) in order to optimize the system performance. In this work we propose a method to compute a (locally) optimal network configuration maximizing the coverage of a 3D environment, given that a relevance map of the environment exists, expressing the coverage priorities for each zone. The proposed method relies on a transformation projecting the observed environment into a new space where the problem can be solved by means of standard techniques such as the Expectation-Maximization algorithm applied to Gaussian Mixture Models.
Starting Page	1
Ending Page	6
File Size	1144580
Page Count	6
File Format	PDF
ISBN	9781457717086
e-ISBN	9781457717079
e-ISBN	9781457717062
DOI	10.1109/ICDSC.2011.6042905
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-22
Publisher Place	Belgium
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Shape Cameras Three dimensional displays Monitoring Equations Optimization
Content Type	Text
Resource Type	Article

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