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ICCV
1999
IEEE

Wallflower: Principles and Practice of Background Maintenance

15 years 2 months ago
Wallflower: Principles and Practice of Background Maintenance
Background maintenance is a frequent element of video surveillance systems. We develop Wallflower, a threecomponent system for background maintenance: the pixellevel 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.
Kentaro Toyama, John Krumm, Barry Brumitt, Brian M
Added 15 Oct 2009
Updated 31 Oct 2009
Type Conference
Year 1999
Where ICCV
Authors Kentaro Toyama, John Krumm, Barry Brumitt, Brian Meyers
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