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CVPR
2011
IEEE

Markerless Motion Capture of Interacting Characters Using Multi-view Image Segmentation

8 years 2 months ago
Markerless Motion Capture of Interacting Characters Using Multi-view Image Segmentation
We present a markerless motion capture approach that reconstructs the skeletal motion and detailed time-varying surface geometry of two closely interacting people from multi-view video. Due to ambiguities in feature-to-person assignments and frequent occlusions, it is not feasible to directly apply single-person capture approaches to the multiperson case. We therefore propose a combined image segmentation and tracking approach to overcome these difficulties. A new probabilistic shape and appearance model is employed to segment the input images and to assign each pixel uniquely to one person. Thereafter, a single-person markerless motion and surface capture approach can be applied to each individual, either one-by-one or in parallel, even under strong occlusions. We demonstrate the performance of our approach on several challenging multi-person motions, including dance and martial arts, and also provide a reference dataset for multi-person motion capture with ground truth.
Yebin Liu, Carsten Stoll, Juergen Gall, Hans-Peter
Added 28 Mar 2011
Updated 29 Apr 2011
Type Journal
Year 2011
Where CVPR
Authors Yebin Liu, Carsten Stoll, Juergen Gall, Hans-Peter Seidel, Christian Theobalt
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