By Topic

A New Illumination-Invariant Method of Moving Object Detection for Video Surveillance Systems

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 $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

2 Author(s)
Elham Kermani ; Electr. Eng. Fac., K.N. Toosi Univ. of Technol., Tehran, Iran ; Davud Asemani

Visual surveillance especially for humans and vehicles is currently one of the most active research topics in computer vision. In this paper, a new method is introduced for the detection of moving objects in surveillance applications. The proposed method relies on a model assigning a vector of gray levels to every pixel location of the current image. The vector represents information on the neighborhood region of that pixel. Using norm of the vectors in two consecutive frames and the Bayesian change detection algorithm, we introduce a novel method for moving object detection which is robust to noise and illumination changes. Also, it is insensitive to repeated motions in the background.

Published in:

2011 7th Iranian Conference on Machine Vision and Image Processing

Date of Conference:

16-17 Nov. 2011