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Twist Based Acquisition and Tracking of Animal and Human Kinematics (2004)
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| Venue: | INTERNATIONAL JOURNAL OF COMPUTER VISION |
| Citations: | 97 - 1 self |
BibTeX
@MISC{Bregler04twistbased,
author = {Christoph Bregler and Jitendra Malik and Katherine Pullen},
title = {Twist Based Acquisition and Tracking of Animal and Human Kinematics},
year = {2004}
}
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Abstract
This paper demonstrates a new visual motion estimation technique that is able to recover high degree-offreedom articulated human body configurations in complex video sequences. We introduce the use and integration of a mathematical technique, the product of exponential maps and twist motions, 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. A new factorization technique lets us also recover the kinematic chain model itself. We are able to track several human walk cycles, several wallaby hop cycles, and two walk cycels of 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.
Keyphrases
human kinematics exponential map twist motion last century human body configuration new factorization technique motion study simple linear system challenging footage complex self famous movement new visual motion estimation technique first computer vision several human walk cycle several wallaby hop cycle differential motion estimation kinematic chain model high degree-offreedom mathematical technique complex video sequence eadweard muybridge kinematic degrees-of-freedom
