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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