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2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06)
Dynamic Control of Adaptive Mixture-of-Gaussians Background Model
Sydney, NSW, Australia
November 22-November 24
ISBN: 0-7695-2688-8
Atsushi Shimada, Kyushu University, Japan
Daisaku Arita, Kyushu University, Japan
Rin-ichiro Taniguchi, Kyushu University, Japan
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.
Citation:
Atsushi Shimada, Daisaku Arita, Rin-ichiro Taniguchi, "Dynamic Control of Adaptive Mixture-of-Gaussians Background Model," avss, pp.5, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006
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