Szczegóły publikacji
Opis bibliograficzny
Implementation of advanced foreground segmentation algorithms GMM, ViBE and PBAS in FPGA and GPU – a comparison / Bartłomiej Bułat, Tomasz KRYJAK, Marek GORGOŃ // W: Computer Vision and Graphics : International Conference : ICCVG 2014 : Warsaw, Poland, September 15–17, 2014 : proceedings / eds. Leszek J. Chmielewski [et al.]. — Cham [etc.] : Springer International Publishing, cop. 2014. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; 8671). — ISBN: 978-3-319-11330-2; e-ISBN: 978-3-319-11331-9. — S. 124–131. — Bibliogr. s. 131, Abstr.
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 84669 |
|---|---|
| Data dodania do BaDAP | 2014-10-08 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-319-11331-9_16 |
| Rok publikacji | 2014 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | International Conference on Computer Vision and Graphics 2014 |
| Czasopismo/seria | Lecture Notes in Computer Science |
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.
