14 search results - page 3 / 3 » Efficient mean shift belief propagation for vision tracking |
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
AMDO
2010
Springer
13 years 2 months ago
2010
Springer
Particle Filter methods are one of the dominant tracking paradigms due to its ability to handle non-gaussian processes, multimodality and temporal consistency. Traditionally, the e...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force s...
IJCV
2008
14 years 9 months ago
2008
In this paper, we propose a new stereo matching method using the population-based Markov Chain Monte Carlo (Pop-MCMC), which belongs to the sampling-based methods. Since the previo...