Background segmentation with feedback: The Pixel-Based Adaptive Segmenter

  title={Background segmentation with feedback: The Pixel-Based Adaptive Segmenter},
  author={Martin Hofmann and Philipp Tiefenbacher and Gerhard Rigoll},
  journal={2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
In this paper we present a novel method for foreground segmentation. Our proposed approach follows a non-parametric background modeling paradigm, thus the background is modeled by a history of recently observed pixel values. The foreground decision depends on a decision threshold. The background update is based on a learning parameter. We extend both of these parameters to dynamic per-pixel state variables and introduce dynamic controllers for each of them. Furthermore, both controllers are… CONTINUE READING
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