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User localisation using visual sensing and RF signal strength

Ó Conaire, Ciarán and Fogarty, Keith and Brennan, Conor and O'Connor, Noel E. (2008) User localisation using visual sensing and RF signal strength. In: ImageSense 2008, 4 November 2008, Raleigh, North Carolina, USA.

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Abstract

In this paper, we simulate a museum scenario where we are concerned with identifying the exhibit that a person is observing. Many different technologies exist for determining the location of a user, including GPS, GSM and RF-id tags. Due to their low-power and passive nature, along with their relatively good accuracy, we examine the use of image-based localisation, alongside RF-based localisation for this task. In image-based localisation, we investigate if it is possible to determine a user's location given an image captured at their current location. In RF-based localisation, we can attempt localisation using a set of signal strength readings from detected wireless networks. As the two sources of data are complementary, we investigate different fusion strategies and measure the resulting increase in performance from using both systems.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Additional Information:Workshop held in conjunction with ACM SenSys 2008
Uncontrolled Keywords:user localisation; image matching; SURF; RF localisation;
Subjects:Engineering > Imaging systems
Computer Science > Machine learning
Engineering > Signal processing
Computer Science > Image processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Official URL:http://research.microsoft.com/nec/events/imagesense08/index.html
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:2112
Deposited On:10 Nov 2008 14:46 by Ciaran O Conaire. Last Modified 17 Feb 2009 13:22

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