Dynamic Control of Adaptive Mixture-of-Gaussians Background Model

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	Similar Articles Articles by Atsushi Shimada Articles by Daisaku Arita Articles by Rin-ichiro Taniguchi

2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06)

Sydney, NSW, Australia

November 22-November 24

ISBN: 0-7695-2688-8

	ASCII Text	x
	Atsushi Shimada, Daisaku Arita, Rin-ichiro Taniguchi, "Dynamic Control of Adaptive Mixture-of-Gaussians Background Model," Advanced Video and Signal Based Surveillance, IEEE Conference on, pp. 5, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006.

	BibTex	x
	@article{ 10.1109/AVSS.2006.44, author = {Atsushi Shimada and Daisaku Arita and Rin-ichiro Taniguchi}, title = {Dynamic Control of Adaptive Mixture-of-Gaussians Background Model}, journal ={Advanced Video and Signal Based Surveillance, IEEE Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2688-8}, pages = {5}, doi = {http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.44}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Advanced Video and Signal Based Surveillance, IEEE Conference on TI - Dynamic Control of Adaptive Mixture-of-Gaussians Background Model SN - 0-7695-2688-8 SP EP A1 - Atsushi Shimada, A1 - Daisaku Arita, A1 - Rin-ichiro Taniguchi, PY - 2006 KW - null VL - 0 JA - Advanced Video and Signal Based Surveillance, IEEE Conference on ER -

Atsushi Shimada, Kyushu University, Japan

Daisaku Arita, Kyushu University, Japan

Rin-ichiro Taniguchi, Kyushu University, Japan

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.44

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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