Tracking people with twists and exponential maps
Bregler, C.; Malik, J.
Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Volume , Issue , 23-25 Jun 1998 Page(s):8 - 15
Digital Object Identifier 10.1109/CVPR.1998.698581
Summary:This paper demonstrates a new visual motion estimation technique
that is able to recover high degree-of-freedom articulated human body
configurations in complex video sequences. We introduce the use of a
novel mathematical technique, the product of exponential maps and twist
motions, and its integration into a differential motion estimation. This
results in solving simple linear systems, and enables us to recover
robustly the kinematic degrees-of-freedom in noise and complex self
occluded configurations. We demonstrate this on several image sequences
of people doing articulated full body movements, and visualize the
results in re-animating an artificial 3D human model. We are also able
to recover and re-animate the famous movements of Eadweard Muybridge's
motion studies from the last century. To the best of our knowledge, this
is the first computer vision based system that is able to process such
challenging footage and recover complex motions with such high accuracy
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