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In Image Processing Theory Tools and Applications (IPTA), 2010 2nd International Conference on (July 2010), pp. 66-71, doi:10.1109/ipta.2010.5586792 Key: citeulike:11988533
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Background subtraction of video sequences is mainly regarded as a solved problem. However, no complete benchmark about Background Subtraction Algorithms (BSA) has been established, with ground truth and associated quality measures. One of the reasons is that such comparative study needs annotated datasets. In this article, we propose a BSA evaluation dataset built from realistic synthetic image and we compare six BSA, according to several quality measures.
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