From Canonical Poses to 3D Motion Capture Using a Single Camera

We combine detection and tracking techniques to achieve robust 3D motion recovery of people seen from arbitrary viewpoints by a single and potentially moving camera. We rely on detecting key postures, which can be done reliably, using a motion model to infer 3D poses between consecutive detections, and finally refining them over the whole sequence using a generative model. We demonstrate our approach in the cases of golf motions filmed using a static camera and walking motions acquired using a potentially moving one. We will show that our approach, although monocular, is both metrically accurate because it integrates information over many frames and robust because it can recover from a few misdetections.


Published in:
Ieee Transactions On Pattern Analysis And Machine Intelligence, 32, 7, 1165-1181
Year:
2010
Publisher:
Institute of Electrical and Electronics Engineers
ISSN:
0162-8828
Keywords:
Laboratories:




 Record created 2010-06-24, last modified 2018-03-17

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