Implementation of advanced foreground segmentation algorithms GMM, ViBE and PBAS in FPGA and GPU – a comparison

Abstract

The article presents the results of implementing advanced foreground object segmentation algorithms: GMM (Gaussian Mixture Model), ViBE (Visual Background Extractor) and PBAS (Pixel-Based Adaptive Segmenter) on different hardware platforms: CPU, GPU and FPGA. The influence of the architecture on the segmentation accuracy and feasibility to perform real-time video stream processing was analysed. Also the limitations resulting from the specific features of GPU and FPGA were pointed out. Furthermore, the possible use of different platforms in advanced vision systems was discussed.