Journal
OPTICAL ENGINEERING
Volume 49, Issue 4, Pages -Publisher
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.3374043
Keywords
visual surveillance; foreground object detection; machine vision; background image
Categories
Ask authors/readers for more resources
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. (C) 2010 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3374043]
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available