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Abstract:
In this work we present an approach for markerless motion capture (MoCap) of
articulated objects, which are recorded with multiple unsynchronized moving
cameras. Instead of using fixed (and expensive) hardware synchronized cameras,
this approach allows
us to track people with off-the-shelf handheld video ca\-me\-ras. To prepare a
sequence for motion capture, we first reconstruct
the static background and the position of each camera using
Structure-from-Motion (SfM). Then the cameras
are registered to each other using the reconstructed static background geometry.
Camera synchronization is achieved via the audio streams recorded by the
ca\-me\-ras in parallel. Finally, a markerless MoCap approach is applied to
recover positions and joint configurations of subjects. Feature tracks and
dense background geometry are further used to stabilize the MoCap. The
ex\-pe\-ri\-ments show examples with highly challenging indoor and outdoor
scenes.
