流行的视觉跟踪方法(转)
standard mean shift tracker（MS）CVPR-00
“Real-time tracking of non-rigid objects using mean shift”
mean shift tracker（MS）PAMI-03
“Kernel-based object tracking”
covariance tracker（CV）CVPR-06
“Covariance tracking using model update based on lie algebra”
appearance adaptive particle tracker（AAPF）TIP-04
“Visual Tracking and recognition using appearance-adaptive models in particle filters”
ensemble tracker（ES）CVPR-05
“Ensemble Tracking”
L1 tracker ICCV-09
“Robust Visual Tracking using L1 minimization”
visual tracker sampler（VTS）ICCV-11
“Tracking by sampling trackers”
MCMC-method PAMI-05
“MCMC-based particle filtering for tracking a variable number of interacting targets”
Incremental Visual Tracking（IVT）IJCV-08
“Incremental Learning for robust visual tracking”
Multiple Instance Learning（MIL）CVPR-09
“Visual tracking with online multiple instance learning”
Visual Tracking Decomposition（VTD）CVPR-10
“Visual Tracking Decomposition”
Frag tracking CVPR-06
“Robust fragments-based tracking using the integral histogram”
WSL tracker PAMI-03
“Robust online appearance models for visual tracking”
TLD tracker PAMI-12
“Tracking-Learning-Detection”
online boosting BMVC-06
“Real-time Tracking via On-line Boosting”
Semi-boost tracker ECCV-08
“Semi-Supervised On-line Boosting for Robust Tracking”
http://hi.baidu.com/windey1988/item/52e8dac8b644f9dc974452ef