Research on moving object detection based on improved mixture Gaussian model

For the deficiency of the mixture Gaussian model (GMM), an improved GMM algorithm is proposed, which can be applied to moving object detection. Combined with codebook detection algorithm, the GMM model is initialized by video images pixels statistical mean and variance, and updated model using param...

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Bibliographic Details
Published in:Optik (Stuttgart) 2015-10, Vol.126 (20), p.2256-2259
Main Authors: Chen, Xiaorong, Xi, Chuanli, Cao, Jianghui
Format: Article
Language:English
Subjects:
Gaussian mixture model
Object detection
Parameter estimation
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Summary:For the deficiency of the mixture Gaussian model (GMM), an improved GMM algorithm is proposed, which can be applied to moving object detection. Combined with codebook detection algorithm, the GMM model is initialized by video images pixels statistical mean and variance, and updated model using parameters confidence interval. The experiment results indicate that the proposed update model can detect moving objects in complex background effectively and has good robustness.
ISSN:0030-4026
1618-1336
DOI:10.1016/j.ijleo.2015.05.122