Share Email Print

Optical Engineering

Foreground objects detection using multiple difference images
Author(s): Jong-Eun Ha; Wangheon Lee
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In visual surveillance, robust foreground object detection is an essential step for further processing such as segmentation, tracking, and extraction of a scene's contextual information. Typical approaches continuously update background images and use then for detecting foreground objects. They involve many parameters that should be adjusted according to the situation where surveillance cameras are operating. We propose an algorithm for the robust detection of foreground objects using multiple difference images that requires only one parameter to adjust. We show that the proposed algorithm gives comparable results with less computation time through experimental results using test images with groundtruths.

Paper Details

Date Published: 1 April 2010
PDF: 5 pages
Opt. Eng. 49(4) 047201 doi: 10.1117/1.3374043
Published in: Optical Engineering Volume 49, Issue 4
Show Author Affiliations
Jong-Eun Ha, Seoul National Univ. of Technology (Korea, Republic of)
Wangheon Lee, Hansei Univ. (Korea, Republic of)

© SPIE. Terms of Use
Back to Top