@inproceedings{Hasler-et-al_CVPR09,
TITLE = {Markerless Motion Capture with Unsynchronized Moving Cameras},
AUTHOR = {Hasler, Nils and Rosenhahn, Bodo and Thorm{\"a}hlen, Thorsten and Wand, Michael and Gall, J{\"u}rgen and Seidel, Hans-Peter},
LANGUAGE = {eng},
ISBN = {978-1-4244-3992-8},
DOI = {10.1109/CVPRW.2009.5206859},
LOCALID = {Local-ID: C125675300671F7B-5D7FAF825CA490EAC1257583004C7FFC-HasRosThoWanGalSei09Audio},
PUBLISHER = {IEEE Computer Society},
YEAR = {2009},
DATE = {2009},
ABSTRACT = {In this work we present an approach for markerless motion capture (MoCap) of <br>articulated objects, which are recorded with multiple unsynchronized moving <br>cameras. Instead of using fixed (and expensive) hardware synchronized cameras, <br>this approach allows<br>us to track people with off-the-shelf handheld video ca\-me\-ras. To prepare a <br>sequence for motion capture, we first reconstruct<br>the static background and the position of each camera using <br>Structure-from-Motion (SfM). Then the cameras<br>are registered to each other using the reconstructed static background geometry.<br>Camera synchronization is achieved via the audio streams recorded by the <br>ca\-me\-ras in parallel. Finally, a markerless MoCap approach is applied to <br>recover positions and joint configurations of subjects. Feature tracks and <br>dense background geometry are further used to stabilize the MoCap. The <br>ex\-pe\-ri\-ments show examples with highly challenging indoor and outdoor <br>scenes.},
BOOKTITLE = {2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009)},
PAGES = {224--231},
ADDRESS = {Miami, FL, USA},
}