Human action recognition using simple geometric features and a finite state machine

• Autorzy: Dudziński D , Kryjak T. , Mikrut Z.
• Języki publikacji: EN

Abstrakty

EN

In this paper a human action recognition algorithm, which uses background generation with shadow elimination, silhouette description based on simple geometrical features and a finite state machine for recognizing particular actions is described. The performed tests indicate that this approach obtains a 81 % correct recognition rate allowing real-time image processing of a 360 X 288 video stream.

Słowa kluczowe

EN

geometrical features; human action; finite state machine

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2013
• Tom: Vol. 18, no. 2-3
• Strony: 49--60
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Dudziński D

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

autor

Kryjak T.

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

autor

Mikrut Z.

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

Bibliografia

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