The article discusses the possibilities of hardware implementation of foreground object segmentation and background modelling algorithms in FPGA. The potential benefits, as well as challenges and problems associated with porting algorithms from general-purpose processors (CPU) to reconfigurable logic (FPGA) are presented. Also several hardware implementation of well known method are reviewed: GMM, Codebook, Clustering, ViBE and PBAS.The last algorithm was also evaluated on the SBI dataset.
CITATION STYLE
Kryjak, T., & Gorgon, M. (2015). Real-time implementation of background modelling algorithms in FPGA devices. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9281, pp. 519–526). Springer Verlag. https://doi.org/10.1007/978-3-319-23222-5_63
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