Dynamic Control of Adaptive Mixture-of-Gaussians Background Model

Authors:
Atsushi Shimada;Daisaku Arita;Rin-ichiro Taniguchi
Affiliations:
Kyushu University, Japan;Kyushu University, Japan;Kyushu University, Japan
Venue:
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Year:
2006

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Abstract

We propose a method for create a background model in non-stationary scenes. Each pixel has a dynamic Gaussian mixture model. Our approach can automatically change the number of Gaussians in each pixel. The number of Gaussians increases when pixel values often change because of Illumination change, object moving and so on. On the other hand, when pixel values are constant in a while, some Gaussians are eliminated or integrated. This process helps reduce computational time. We conducted experiments to investigate the effectiveness of our approach.