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Table 2 Performance obtained by the algorithms on the databases. In bold the best precision, recall, and -score for any video.

From: An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes

   EBS MOG SBA SOBS
  Pr 0.514 0.515 0.126 0.399
MIVIA1 Re 0.967 0.901 0.849 0.790
  f 0.671 0.668 0.220 0.530
  Pr 0.836 0.571 0.149 0.305
MIVIA2 Re 0.723 0.814 0.903 0.754
  f 0.775 0.671 0.256 0.434
  Pr 0.791 0.583 0.164 0.183
MIVIA3 Re 0.428 0.720 0.271 0.665
  f 0.555 0.644 0.204 0.288
  Pr 0.745 0.620 0.351 0.579
PETS2006 Re 0.756 0.666 0.801 0.585
  f 0.750 0.642 0.488 0.582
  Pr 0.711 0.734 0.598 0.713
PETS2009-1 Re 0.848 0.772 0.699 0.702
  f 0.773 0.753 0.644 0.707
  Pr 0.780 0.772 0.690 0.726
PETS2009-2 Re 0.862 0.871 0.716 0.804
  f 0.819 0.818 0.702 0.763
  Pr 0.901 0.399 0.764 0.779
MSA Re 0.793 0.748 0.091 0.935
  f 0.844 0.520 0.163 0.850