Constrained contour matching in hand posture recognition

• Autorzy: Wilkowski A. , Kasprzak W.
• Języki publikacji: EN

Abstrakty

EN

In this paper constrained contour models are applied for hand posture-recognition in single color images. In particular, the proposed algorithm utilizes a class of physics-based modelling methods called Deformable Templates [1],[2],[3]. After color-based image segmentation a contour hypothesis is detected and some features are extracted, suitable for comparison with the template's geometric properties. Several metrics for matching contour templates against image data are discussed. The described methods are evaluated experimentally and referred to a known hand posture recognition algorithm.

Słowa kluczowe

EN

image processing; hand posture recognition; gesture recognition; deformable templates

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2009
• Tom: Vol. 14, no 2-3
• Strony: 31--41
• Opis fizyczny: Bibliogr. 18 poz., fot.

Twórcy

autor

Wilkowski A.

autor

Kasprzak W.

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

Bibliografia

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