Pose Estimation From Occluded Images
نویسندگان
چکیده
We propose a learning-based framework for inferring the 3D pose of a person from monocular image sequences. We generate a silhouette from each input image via a robust background subtraction algorithm, and compute the corresponding shape context descriptor using the shape context algorithm. We compute the weighted average of neighbor poses in a database to estimate the positions of different body parts in the input image. We discuss several ways to make the framework more robust.
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