Realization of Scenarios for Video Surveillance

• Autorzy: Chmiel W. , Kwiecień J. , Mikrut Z.
• Języki publikacji: EN

Abstrakty

EN

The design of a methodology for the effective scene understanding systems is one of the main goals of the researchers in the analysis of video surveillance. The objects in the scene have to be identified. Hence, it is necessary to detect the parts belonging to the background. In the article we introduce the base algorithms, which enable us to realization of scenarios. We briefly describe base algorithms (object detection, object localization, recognition of humans, movement detection and configuration of scene) used in three selected scenarios: violation of protected zones, abandoned objects and vandalism (graffiti). These scenarios were tested on several films, obtained from Internet and made by participants of project SIMPOZ. The results of our experiments are presented. The basic algorithms for detecting and locating objects are very quickly, but movement detection ("optical flow") and recognition of humans algorithms work longer.

Słowa kluczowe

EN

video surveillance system; movement detection; analysis of video sequences

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2012
• Tom: Vol. 17, no. 4
• Strony: 231--240
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Chmiel W.

• AGH University of Science and Technology, Department of Automatics and Biomedical Engineering

autor

Kwiecień J.

• AGH University of Science and Technology, Department of Automatics and Biomedical Engineering

autor

Mikrut Z.

• AGH University of Science and Technology, Department of Automatics and Biomedical Engineering

Bibliografia

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Uwagi

EN