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Titlebook: Computer Vision/Computer Graphics Collaboration Techniques; Third International André Gagalowicz,Wilfried Philips Conference proceedings 2

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Model-Based Feature Extraction for Gait Analysis and Recognition successfully extracted with high accuracy for indoor and outdoor data. In this way, we have established a baseline analysis which can be deployed in recognition, marker-less analysis and other areas. The experimental results confirmed the robustness of the proposed method to recognize walking subjects with a correct classification rate of %92.
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Copying Behaviour of Expressive Motionto map the motion cues on the corresponding expressivity parameters of the agent. We also present a behaviour markup language for virtual agents to define the values of expressivity parameters on gestures.
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0302-9743 pres- tations coming from 31 countries. South Korea proved to be the most active scienti?cally with a total of 73 submitted papers, far aboveChina (27 submitted papers), Taiwan (10) and India (9), which proves the strong domination of Asia in the development of this new technology. We received a tot
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