Background Subtraction via Fast Robust Matrix Completion

@article{Rezaei2017BackgroundSV,
  title={Background Subtraction via Fast Robust Matrix Completion},
  author={Behnaz Rezaei and S. Ostadabbas},
  journal={2017 IEEE International Conference on Computer Vision Workshops (ICCVW)},
  year={2017},
  pages={1871-1879}
}
  • Behnaz Rezaei, S. Ostadabbas
  • Published 2017
  • Computer Science, Engineering
  • 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
  • Background subtraction is the primary task of the majority of video inspection systems. The most important part of the background subtraction which is common among different algorithms is background modeling. In this regard, our paper addresses the problem of background modeling in a computationally efficient way, which is important for current eruption of "big data" processing coming from high resolution multi-channel videos. Our model is based on the assumption that background in natural… CONTINUE READING
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