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» Image Segmentation by Data-Driven Markov Chain Monte Carlo
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WACV
2005
IEEE
15 years 3 months ago
Dynamic Human Pose Estimation using Markov Chain Monte Carlo Approach
This paper addresses the problem of tracking human body pose in monocular video including automatic pose initialization and re-initialization after tracking failures caused by par...
Mun Wai Lee, Ramakant Nevatia
NIPS
2000
14 years 11 months ago
Feature Correspondence: A Markov Chain Monte Carlo Approach
When trying to recover 3D structure from a set of images, the most di cult problem is establishing the correspondence between the measurements. Most existing approaches assume tha...
Frank Dellaert, Steven M. Seitz, Sebastian Thrun, ...
PRL
2006
163views more  PRL 2006»
14 years 9 months ago
3D target recognition using cooperative feature map binding under Markov Chain Monte Carlo
A robust and effective feature map integration method is presented for infrared (IR) target recognition. Noise in an IR image makes a target recognition system unstable in pose es...
Sungho Kim, In-So Kweon
CVPR
2003
IEEE
15 years 2 months ago
Bayesian Human Segmentation in Crowded Situations
Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...
Tao Zhao, Ramakant Nevatia
ICIP
2004
IEEE
15 years 11 months ago
Efficient proposal distributions for MCMC image segmentation
We present methods to obtain computationally efficient proposal distributions for Bayesian reversible jump Markov chain Monte Carlo (RJMCMC) based image segmentation. The slow con...
Timo Kostiainen, Jouko Lampinen