Corpus ID: 16453751

Robust Background Segmentation Using Background Models for Surveillance Application

@inproceedings{Huang2009RobustBS,
  title={Robust Background Segmentation Using Background Models for Surveillance Application},
  author={Tianci Huang and Jingbang Qiu and Takahiro Sakayori and Takeshi Ikenaga},
  booktitle={MVA},
  year={2009}
}
Gaussian Mixture Models (GMM) is a very typical method for background subtraction because it possesses a strong resistibility to repetitive background motion. [...] Key Method In this paper features of intensity and texture information are utilized to eliminate the shadow of moving objects. Integrated with modified Gaussian mixture models by redefining the update criterion, proposed algorithm is adapted to the flexible illumination environment. To validate that the proposed algorithm is robust to apply on…Expand

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