DMCA
Improved Adaptive Gaussian Mixture Model for Background Subtraction (2004)
Cached
Download Links
- [carol.science.uva.nl]
- [www.science.uva.nl]
- [staff.science.uva.nl]
- [www.zoranz.net]
- DBLP
Other Repositories/Bibliography
by
Zoran Zivkovic
| Citations: | 175 - 0 self |
BibTeX
@MISC{Zivkovic04improvedadaptive,
author = {Zoran Zivkovic},
title = {Improved Adaptive Gaussian Mixture Model for Background Subtraction},
year = {2004}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Background subtraction is a common computer vision task. We analyze the usual pixel-level approach. We develop an efficient adaptive algorithm using Gaussian mixture probability density. Recursive equations are used to constantly update the parameters and but also to simultaneously select the appropriate number of components for each pixel.
