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ISBI
2006
IEEE
16 years 15 days ago
Bayesian tracking for fluorescence microscopic imaging
Fluorescence microscopy is a powerful imaging tool for studying molecular dynamics in living cells. For quantitative motion analysis of subcellular structures robust and accurate ...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
AVSS
2006
IEEE
15 years 3 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
IJON
2010
129views more  IJON 2010»
14 years 10 months ago
Robust object tracking using a spatial pyramid heat kernel structural information representation
In this paper, we propose an object tracking framework based on a spatial pyramid heat kernel structural information representation. In the tracking framework, we take advantage o...
Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang
ICCV
2011
IEEE
13 years 11 months ago
Blurred Target Tracking by Blur-driven Tracker
Visual tracking plays an important role in many computer vision tasks. A common assumption in previous methods is that the video frames are blur free. In reality, motion blurs are...
Yi Wu, Haibin Ling, Jingyi Yu, Feng Li, Xue Mei, E...
CVPR
2010
IEEE
13 years 9 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
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 (...
Xiuzhuang Zhou and Yao Lu