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Reconnaissance d'actions en temps réel à partir d'exemples

Mathieu Barnachon 1
1 SAARA - Simulation, Analyse et Animation pour la Réalité Augmentée
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : With the success of new interactive solution, like the Wii-Remote or the Sony Eyetoy, and more recently the Microsoft Kinect, we work on new interactions between game and gamers, with a video-based system. The motion recognition will be used to control the game character or the interaction inside a game, an application, etc. My subject concerns interaction between real and virtual characters. We try to enlarge game actions, with movements - spontaneous or not - from gamers, for example. We working on two points. First, we release constraint on the learning of action, i.e. an action has to be learnt quickly (one shot learning), even in uncontrolled environment: person's living room, cybercafes, etc. Second is understanding motions with new solutions. The more motion capture techniques are reliable, the more new metaphors could be invented linking real actions to virtual ones. These new interactions will allow access to gestural applications by an larger public, usually not interested in, or not familiar with. We propose new interaction video-based: full body motion capture in uncontrolled environment; motion understanding; intention transfer to an avatar and new controls production. The possibilities will be wider than only video games or home entertainment
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Contributor : Mathieu Barnachon <>
Submitted on : Friday, May 3, 2013 - 10:59:15 AM
Last modification on : Wednesday, November 20, 2019 - 3:23:45 AM

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  • HAL Id : tel-00820113, version 1

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Mathieu Barnachon. Reconnaissance d'actions en temps réel à partir d'exemples. Vision par ordinateur et reconnaissance de formes [cs.CV]. Université Claude Bernard - Lyon I, 2013. Français. ⟨NNT : 2013LYO10065⟩. ⟨tel-00820113⟩

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