Foreground Object Segmentation in Dynamic Background Scenarios
Tomasz Kryjak · Image Processing & Communications · 2014
Abstract 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 changedetection.net dataset. The obtained results indicate usefulness of the proposed approach.