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» Joint Tracking and Segmentation of Objects Using Graph Cuts
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ICASSP
2007
IEEE
14 years 3 months ago
Sound Source Tracking and Formation using Normalized Cuts
The goal of computational auditory scene analysis (CASA) is to create computer systems that can take as input a mixture of sounds and form packages of acoustic evidence such that ...
Mathieu Lagrange, George Tzanetakis
CVPR
2010
IEEE
13 years 9 months ago
A probabilistic framework for joint segmentation and tracking
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
Chad Aeschliman, Johnny Park, Avinash C. Kak
PAMI
2010
396views more  PAMI 2010»
13 years 7 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu
ICIP
2010
IEEE
13 years 7 months ago
Reducing graphs in graph cut segmentation
In few years, graph cuts have become a leading method for solving a wide range of problems in computer vision. However, graph cuts involve the construction of huge graphs which so...
Nicolas Lerme, François Malgouyres, Lucas L...
IJCV
2008
281views more  IJCV 2008»
13 years 9 months ago
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts
Abstract This paper presents a novel algorithm for performing integrated segmentation and 3D pose estimation of a human body from multiple views. Unlike other state of the art meth...
Pushmeet Kohli, Jonathan Rihan, Matthieu Bray, Phi...