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Kim, Kwang In
Machine Learning and Vision Lab.
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Spatio-temporal motion tracking with unsynchronized cameras

Author(s)
Elhayek, A.Stoll, C.Hasler, N.Kim, K.I.Seidel, H.-P.Theobalt, C.
Issued Date
2012-06-16
DOI
10.1109/CVPR.2012.6247886
URI
https://scholarworks.unist.ac.kr/handle/201301/32630
Fulltext
https://ieeexplore.ieee.org/document/6247886
Citation
IEEE Conference on Computer Vision and Pattern Recognition, pp.1870 - 1877
Abstract
We present a new spatio-temporal method for markerless motion capture. We reconstruct the pose and motion of a character from a multi-view video sequence without requiring the cameras to be synchronized and without aligning captured frames in time. By formulating the model-to-image similarity measure as a temporally continuous functional, we are also able to reconstruct motion in much higher temporal detail than was possible with previous synchronized approaches. By purposefully running cameras unsynchronized we can capture even very fast motion at speeds that off-the-shelf but high quality cameras provide. © 2012 IEEE.
Publisher
IEEE
ISSN
1063-6919

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