Dynamic control of adaptive mixture-of-Gaussians background model

Research output: Chapter in Book/Report/Conference proceedingConference contribution

77 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
PublisherIEEE Computer Society
Pages5
Number of pages1
ISBN (Print)0769526888, 9780769526881
DOIs
Publication statusPublished - 2006
EventIEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006 - Sydney, NSW, Australia
Duration: Nov 22 2006Nov 24 2006

Publication series

NameProceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006

Other

OtherIEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
CountryAustralia
CitySydney, NSW
Period11/22/0611/24/06

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Shimada, A., Arita, D., & Taniguchi, R. I. (2006). Dynamic control of adaptive mixture-of-Gaussians background model. In Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006 (pp. 5). [4020664] (Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006). IEEE Computer Society. https://doi.org/10.1109/AVSS.2006.44