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- Title
Modified GMM algorithm based on spatiotemporal distribution.
- Authors
XIA Hai-ying; HE Li-ping; HUANG Si-qi
- Abstract
Considering the traditional GMM is sensitive to dynamic environment, has low detection rate for the slow moving target, this paper proposed a modified GMM algorithm, which used spatial information to compensate time information. It used the random number generation method for sampling the neighborhood to complete background modeling based on pixel spatial distribution during the time distribution based on Gaussian mixture background modeling. Meanwhile, it utilized the foreground detection algorithm, which applied pixel's history statistic information and decision fusion mechanism, to get a more exact judgment on static and moving target. Finally, compared with other foreground detection algorithms, it shows that GMM has better robustness and more exact detection for the slow moving target.
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2015, Vol 32, Issue 5, p1546
- ISSN
1001-3695
- Publication type
Article
- DOI
10.3969/j.issn.1001-3695.2015.05.067