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Motion capture and human pose reconstruction from a single-view video sequence

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Academic year: 2021

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Fig. 1. The proposed framework for human motion capture from a single-view video sequence and animation using the motion capture data.
Fig. 3. Iterative estimation: (a) the torso orientation; (b) the upper left leg orientation; (c) the upper right leg orientation; (d) the foreshortening ratio of the torso; (e) the foreshortening ratio of the upper arm.
Fig. 4. The output of the implementation for the walking sequence. First row: sample images from the video sequence; second row: the performer’s silhouette extracted;
Fig. 5. The output of the implementation for the dancing sequence. First row: sample images from the video sequence; second row: the performer’s silhouette extracted;

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