SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity

@article{StCharles2015SuBSENSEAU,
  title={SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity},
  author={Pierre-Luc St-Charles and Guillaume-Alexandre Bilodeau and Robert Bergevin},
  journal={IEEE Transactions on Image Processing},
  year={2015},
  volume={24},
  pages={359-373}
}
Foreground/background segmentation via change detection in video sequences is often used as a stepping stone in high-level analytics and applications. Despite the wide variety of methods that have been proposed for this problem, none has been able to fully address the complex nature of dynamic scenes in real surveillance tasks. In this paper, we present a universal pixel-level segmentation method that relies on spatiotemporal binary features as well as color information to detect changes. This… CONTINUE READING
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