By Topic

Reducing false alarm rates in surveillance imaging using significance testing

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
$33 $33
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

2 Author(s)
T. J. Atherton ; Dept. of Comput. Sci., Warwick Univ., Coventry, UK ; D. J. Kerbyson

We describe a technique for detecting changes in an imaged scene that is robust to noise and to natural random motions of fixed objects (e.g. trees) in the scene. For a static camera much of a scene will remain constant over time periods that are very long compared to the time between images. This is true to varying degrees for all regions of an image. Changes in the structure of an image may be of two types; those due to “natural motion” (typically trees, bushes, pedestrians, vehicles) which are not significant, and those due to significant changes (which correspond to alarm conditions, e.g. intruders). Significant changes are those that stand out from the background of normal activity in the image. In our application we compute the deviation of a pixel from its long-term mean value, this value is squared and then normalised by the variance of that pixel. The sensitivity is reduced, pixel by pixel, across the image if the underlying variability of the image is high at that pixel. The price for this is reduced sensitivity to an “intruder” in image regions of high variance, the benefit is reduced levels of false alarms while retaining high sensitivity in image regions of low variance

Published in:

Image Processing for Security Applications (Digest No.: 1997/074), IEE Colloquium on

Date of Conference:

10 Mar 1997