15 November 2007 Accurate dynamic scene model with double-layer Gaussian mixture
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67864M (2007) https://doi.org/10.1117/12.752761
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Gaussian mixture model is a popular method to model dynamic scenes viewed by a fixed camera. However, we found that it is not a trivial problem for each component of Gaussian mixture to learn the accurate parameters for complex pixels. Furthermore, traditional method of Gaussian mixture has to make a tradeoff between system stability and convergence rate. We developed a mechanism of double-layer Gaussian mixture model for moving object detection from dynamic scenes, which can improve the convergence rate without compromising the system stability. Additionally, temporal consistency of variances was taken into account to alleviate camouflage problems in the process of detection.
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Hong Yang, Hong Yang, Yihua Tan, Yihua Tan, Jinwen Tian, Jinwen Tian, Jian Liu, Jian Liu, } "Accurate dynamic scene model with double-layer Gaussian mixture", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864M (15 November 2007); doi: 10.1117/12.752761; https://doi.org/10.1117/12.752761
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