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.
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Bulat, B., Kryjak, T., Gorgon, M. (2014). Implementation of Advanced Foreground Segmentation Algorithms GMM, ViBE and PBAS in FPGA and GPU – A Comparison. In: Chmielewski, L.J., Kozera, R., Shin, BS., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2014. Lecture Notes in Computer Science, vol 8671. Springer, Cham. https://doi.org/10.1007/978-3-319-11331-9_16
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DOI: https://doi.org/10.1007/978-3-319-11331-9_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11330-2
Online ISBN: 978-3-319-11331-9
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