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» Motion Segmentation and Tracking Using Normalized Cuts
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CVPR
2005
IEEE
14 years 9 months ago
Quantitative Evaluation of a Novel Image Segmentation Algorithm
We present a quantitative evaluation of SE-MinCut, a novel segmentation algorithm based on spectral embedding and minimum cut. We use human segmentations from the Berkeley Segment...
Francisco J. Estrada, Allan D. Jepson
ICIP
2007
IEEE
14 years 9 months ago
Automated Segmentation of Torn Frames using the Graph Cuts Technique
Film Tear is a form of degradation in archived film and is the physical ripping of the film material. Tear causes displacement of a region of the degraded frame and the loss of im...
David Corrigan, Naomi Harte, Anil C. Kokaram
GRAPHICSINTERFACE
2004
13 years 8 months ago
Segmenting Motion Capture Data into Distinct Behaviors
Much of the motion capture data used in animations, commercials, and video games is carefully segmented into distinct motions either at the time of capture or by hand after the ca...
Jernej Barbic, Alla Safonova, Jia-Yu Pan, Christos...
ICPR
2002
IEEE
14 years 8 months ago
Using Normal Flow for Detection and Tracking of Limbs in Color Images
Humans are articulated objects composed of non-rigid parts. We are interested in detecting and tracking human motions over various periods of time. In this paper we describe a met...
Zoran Duric, Fayin Li, Yan Sun, Harry Wechsler
ISBI
2009
IEEE
14 years 2 months ago
Cell Tracking and Segmentation in Electron Microscopy Images Using Graph Cuts
Understanding neural connectivity and structures in the brain requires detailed 3D anatomical models, and such an understanding is essential to the study of the nervous system. Ho...
Huei-Fang Yang, Yoonsuck Choe