Home // UBICOMM 2011, The Fifth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies // View article

Fusing Camera and Wi-Fi Sensors for Opportunistic Localization

Authors:
Sam Van den Berghe
Maarten Weyn
Vincent Spruyt
Alessandro Ledda

Keywords: Tracking; Camera; Background subtraction; Wi-Fi; fingerprint.

Abstract:
There has been a lot of research done towards both camera and Wi-Fi tracking respectively, both these techniques have their benefits and drawbacks. By combining these technologies, it is possible to eliminate their respective weaknesses, to increase the possibilities of the system as a whole. This is accomplished by fusing the data from Wi-Fi and camera before inserting it in a particle filter. This will result in a more accurate and robust localization system. The measurement model for Wi-Fi data uses a difference feature vector for comparing data to the fingerprint. The images taken from the camera are analysed, and filtered to detect human shapes. In this paper it is proven that an increased accuracy can be achieved by fusing the sensor data of both Wi-Fi and camera.

Pages: 169 to 174

Copyright: Copyright (c) IARIA, 2011

Publication date: November 20, 2011

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-171-7

Location: Lisbon, Portugal

Dates: from November 20, 2011 to November 25, 2011