Paramétrage et Capture Multicaméras du Mouvement Humain

David Knossow 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : My Ph.D manuscript deals with the problem of markerless human motion capture. We propose an approach that relies on the use of multiple cameras and that avoids most of the constraints on the environment and the use of markers to perform the motion capture, as it is generally the case for industrial systems. The absence of markers makes harder the problem of extracting relevant information from images but also to correlate this information between. Moreover, interpreting this extracted information in terms of joint parameters motion is not an easy task. We propose an approach that relies on occluding contours of the human body. We studied the link between motion parameters and the apparent motion of the edges in images. Minimizing the error between the extracted edges and the projection of the 3D model onto the images allows to estimate the motion parameters of the actor. Among the opened issues, we show that using video based motion capture allows to provide additional hints such as contacts between body parts or between the actor and its environment. This information is particularly relevant for improving character animation.
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Submitted on : Friday, May 11, 2007 - 8:53:15 AM
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David Knossow. Paramétrage et Capture Multicaméras du Mouvement Humain. Interface homme-machine [cs.HC]. Institut National Polytechnique de Grenoble - INPG, 2007. Français. ⟨tel-00145627⟩

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