Foreground Object Segmentation in Dynamic Background Scenarios

• Autorzy: Kryjak T.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

ViBe algorithm; PBAS algorithm; video surveillance systems

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2014
• Tom: Vol. 19, no. 2-3
• Strony: 25--36
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Kryjak T.

• AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków

Bibliografia

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