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CVPR
2004
IEEE
16 years 4 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
85
Voted
JOLLI
2006
53views more  JOLLI 2006»
15 years 2 months ago
On Nonparametric Predictive Inference and Objective Bayesianism
Frank P. A. Coolen
62
Voted
PAMI
2006
91views more  PAMI 2006»
15 years 2 months ago
Sequential Monte Carlo for Bayesian Matching of Objects with Occlusions
Toni Tamminen, Jouko Lampinen
TSP
2010
14 years 9 months ago
Bayesian multi-object filtering with amplitude feature likelihood for unknown object SNR
In many tracking scenarios, the amplitude of target returns are stronger than those coming from false alarms. This information can be used to improve the multi-target state estimat...
Daniel Clark, Branko Ristic, Ba-Ngu Vo, Ba-Tuong V...