Foreground Object Segmentation in Dynamic Background Scenarios

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In the paper research on foreground object segmentation in dynamic background scenarios (i.e. flowing water, moving leaves or shrubs) is described. The effectiveness of different algorithms: based on FIFO sample buffer, singlevariant, multi-variant (MOG, Clustering) and recently proposed ViBE and PBAS is evaluated. A post-processing method, that allows false detections reduction is also proposed. The solution was tested on sequences from the dataset. The obtained results indicate usefulness of the proposed approach.

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The Journal of University of Technology and Life Sciences in Bydgoszcz

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