Cart (Loading....) | Create Account
Close category search window
 

Detecting External Disturbances on the Camera Lens in Wireless Multimedia Sensor Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Alippi, C. ; Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy ; Boracchi, G. ; Camplani, R. ; Roveri, M.

Assessing the quality of images acquired by nodes of a wireless multimedia sensor network (WMSN) is a critical issue, particularly in outdoor applications where external disturbances such as the presence of water, dust, snow, or tampering on the camera lens may seriously corrupt the acquired images. In this paper, we address the problem of determining when the lens of a microcamera mounted on a WMSN node is affected by an external disturbance that produces blurred or obfuscated images. We show that such a problem can be solved by considering change detection tests applied to a measure of the blur intensity. Interestingly, both measuring the blur and the change detection test do not require any assumption about the content of the observed scene, its nature, or the characteristics of the blur. The proposed methodology is thus flexible and effective for a large class of monitoring applications. In particular, it is attractive when nodes cannot continuously acquire images (e.g., because of energy limitations) and background subtraction methods are not feasible. Two solutions, with different hardware costs, have been designed, which can detect disturbances on the camera lens at either/both the node or/and the remote station level.

Published in:

Instrumentation and Measurement, IEEE Transactions on  (Volume:59 ,  Issue: 11 )

Date of Publication:

Nov. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.