Full video results from GOSUS 
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 Overview 
   For the results of  background subtraction:  each frame consists of six sub-images:  top left shows the original image; 	top middle shows the background estimated by GOSUS;  top right shows the foreground segmentation by GOSUS; bottom left shows the foreground segmentation by RPCA; bottom middle shows the foreground segmentation by RPMF, bottom right shows the result by GRASTA. The foreground thresholds for each algorithm are selected by cross-validation.
  This dataset is from  Perception Test Images Sequences [1] and Wallflower Test Images Sequences  [2].  
  For the results of  multiple face tracking: faces marked with the same number are from the same track; frame number is shown on the left top corner. 
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  Background Subtraction 
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 Multiple Face Tracking  
    
  The Big Bang Theory - Leonard's Secret Weapon  (Download video 22 MB)   
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 Reference  
      [1] L. Li, W. Huang, I. Y. H. Gu, and Q. Tian. Statistical modeling of complex backgrounds for foreground object detection. TIP, 13(11):1459–1472, 2004.   
      [2]  K. Toyama, J. Krumm, B. Brumitt, and B. Meyers. Wallflower: Principles and practice of background maintenance. In ICCV, 1999.  
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