@inproceedings{toyama1999wallflower,
author = {Toyama, Kentaro and Krumm, John and Brumitt, Barry and Meyers, Brian},
title = {Wallflower: Principles and Practice of Background Maintenance},
booktitle = {Seventh International Conference on Computer Vision},
year = {1999},
month = {September},
abstract = {Background maintenance is a frequent element of video surveillance systems. We develop Wallflower, a three-component system for background maintenance: the pixel-level component performs Wiener filtering to make probabilistic predictions of the expected background; the region-level component fills in homogeneous regions of foreground objects; and the frame-level component detects sudden, global changes in the image and swaps in better approximations of the background. We compare our system with 8 other background subtraction algorithms. Wallflower is shown to outperform previous algorithms by handling a greater set of the difficult situations that can occur. Finally, we analyze the experimental results and propose normative principles for background maintenance.},
publisher = {IEEE Computer Society Press},
url = {http://approjects.co.za/?big=en-us/research/publication/wallflower-principles-and-practice-of-background-maintenance/},
pages = {255-261},
edition = {Seventh International Conference on Computer Vision},
}