Hand gesture recognition based on free-form contours and probabilistic inference

• Autorzy: Włodzimierz Kasprzak , Artur Wilkowski , Karol Czapnik
• Języki publikacji: EN

Abstrakty

EN

A computer vision system is described that captures color image sequences, detects and recognizes static hand poses (i.e., "letters") and interprets pose sequences in terms of gestures (i.e., "words"). The hand object is detected with a double-active contour-based method. A tracking of the hand pose in a short sequence allows detecting "modified poses", like diacritic letters in national alphabets. The static hand pose set corresponds to hand signs of a thumb alphabet. Finally, by tracking hand poses in a longer image sequence, the pose sequence is interpreted in terms of gestures. Dynamic Bayesian models and their inference methods (particle filter and Viterbi search) are applied at this stage, allowing a bi-driven control of the entire system.

Słowa kluczowe

EN

active contours; hand pose detection; hand tracking; image sequence analysis; stochastic inference

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2012
• Tom: 22
• Numer: 2
• Strony: 437-448

Daty

wydano

2012

otrzymano

2010-12-10

poprawiono

2011-05-26

poprawiono

2011-09-12

Twórcy

autor

Włodzimierz Kasprzak

• Institute of Control and Computation Engineering, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland

autor

Artur Wilkowski

• Institute of Control and Computation Engineering, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland
• Faculty of Geodesy and Cartography, Warsaw University of Technology, Pl. Politechniki 1, 00-661 Warsaw, Poland

autor

Karol Czapnik

• Institute of Control and Computation Engineering, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland

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Identyfikatory

DOI

10.2478/v10006-012-0033-6