Stochastic Tracking of 3D Human Figures Using 2D Image Motion
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Evaluating Video-Based Motion Capture
CA '02 Proceedings of the Computer Animation
Visual Modeling with a Hand-Held Camera
International Journal of Computer Vision
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Keyframe-based tracking for rotoscoping and animation
ACM SIGGRAPH 2004 Papers
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Subspace gradient domain mesh deformation
ACM SIGGRAPH 2006 Papers
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
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In this paper, a semi-automatic method to capture motion data from a single-camera video is proposed. The input video is first segmented and analyzed, and a 3D character model with skeleton rigged is used as a reference model. Then, the reference model is modified to fit the subject's contour in the starting frame, and the body's and limbs' contours of the subject are also specified by the user. Our system then extracts the motion from the video by estimating the reference model's poses automatically in each video frame forwardly. Finally, the user can help to refine the result through a friendly user interface.