2108 search results - page 285 / 422 » Tracking in Reinforcement Learning |
229
Voted
CVPR
2010
IEEE
14 years 23 days ago
2010
IEEE
Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...
199
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
Wide area aerial surveillance data has recently proliferated and increased the demand for multi-object tracking algorithms. However, the limited appearance information on every ta...
129
Voted
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
136
Voted
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
135
Voted
CRV
2008
IEEE
15 years 10 months ago
2008
IEEE
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...