Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models |
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Authors: | Javier Molina Marcos Escudero-Viñolo Alessandro Signoriello Montse Pardàs Christian Ferrán Jesús Bescós Ferran Marqués José M. Martínez |
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Affiliation: | 1. Video Processing and Understanding Lab Laboratorio C-111 Escuela Politécnica Superior, Universidad Autónoma de Madrid, Avda. Francisco Tomás y Valiente, 11, Ciudad Universitaria de Cantoblanco, Ctra. de Colmenar Viejo, km 15, 28049, Madrid, Spain 2. Image and Video Processing Group, Polytechnic University of Catalonia, Barcelona, Spain 3. Telefónica I+D, Barcelona, Spain
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Abstract: | The use of hand gestures offers an alternative to the commonly used human computer interfaces, providing a more intuitive way of navigating among menus and multimedia applications. This paper presents a system for hand gesture recognition devoted to control windows applications. Starting from the images captured by a time-of-flight camera (a camera that produces images with an intensity level inversely proportional to the depth of the objects observed) the system performs hand segmentation as well as a low-level extraction of potentially relevant features which are related to the morphological representation of the hand silhouette. Classification based on these features discriminates between a set of possible static hand postures which results, combined with the estimated motion pattern of the hand, in the recognition of dynamic hand gestures. The whole system works in real-time, allowing practical interaction between user and application. |
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