Jiang Gao, Robert Collins, Alex Hauptmann and Howard Wactler,
"Articulated Motion Modeling for Activity Analysis,"
IEEE Workshop on Articulated and NonRigid Motion,
held in conjunction with CVPR'04, Washington, DC, 2004.
Abstract
We propose an algorithm for articulated human
motion segmentation that estimates parametric
motions of body parts and segments images into
moving regions accordingly. Our approach combines
robust optical flow estimation, RANSAC, and region
segmentation using color and Gaussian shape priors.
This combination results in an algorithm that can
robustly estimate and segment multiple motions, even
for moving regions with small support and in lowresolution
images. Based on the raw motion
segmentation, consistent body motions are detected
over time to characterize human activity. The
effectiveness of this approach is demonstrated in a
real scenario: characterizing dining activities of
patients at a nursing home.
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