Online Space-Variant Background Modeling With Sparse Coding

@article{Staglian2015OnlineSB,
  title={Online Space-Variant Background Modeling With Sparse Coding},
  author={Alessandra Staglian{\`o} and Nicoletta Noceti and Alessandro Verri and Francesca Odone},
  journal={IEEE Transactions on Image Processing},
  year={2015},
  volume={24},
  pages={2415-2428}
}
In this paper, we propose a sparse coding approach to background modeling. The obtained model is based on dictionaries which we learn and keep up to date as new data are provided by a video camera. We observe that, without dynamic events, video frames may be seen as noisy data belonging to the background. Over time, such background is subject to local and global changes due to variable illumination conditions, camera jitter, stable scene changes, and intermittent motion of background objects… CONTINUE READING

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