Moving Object Detection via Robust Low Rank Matrix Decomposition with IRLS Scheme

@inproceedings{Guyon2012MovingOD,
  title={Moving Object Detection via Robust Low Rank Matrix Decomposition with IRLS Scheme},
  author={Charles Guyon and Thierry Bouwmans and El-hadi Zahzah},
  booktitle={ISVC},
  year={2012}
}
Moving object detection is a key step in video surveillance system. Recently, Robust Principal Components Analysis (RPCA) shows a nice framework to separate moving objects from the background when the camera is fixed. The background sequence is then modeled by a low rank subspace that can gradually change over time, while the moving objects constitute the correlated sparse outliers. In this paper, we propose to use a low-rank matrix factorization with IRLS (Iteratively Reweighted Least Squares… CONTINUE READING
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