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» The Unscented Particle Filter
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ICIP
2005
IEEE
14 years 9 months ago
Novel likelihood estimation technique based on boosting detector
This paper presents novel likelihood estimation to be used for particle filter based object tracking. The likelihood estimation is built upon cascade object detector trained with ...
Haijing Wang, Peihua Li, Tianwen Zhang
ICPR
2008
IEEE
14 years 8 months ago
A probabilistic approach for tracking fibers
This paper describes a combination of an automated image acquisition method and a probabilistic tracking method for analysis of the 3D microstructure of a sheet of paper. A protot...
Horst Bischof, Johannes Kritzinger, Michael Donose...
ICPR
2008
IEEE
14 years 8 months ago
Merging maps of multiple robots
Merging local maps, acquired by multiple robots, into a global map, (also known as map merging) is one of the important issues faced by virtually all cooperative exploration techn...
Longin Jan Latecki, Marc Sobel, Nagesh Adluru, Rol...
ICPR
2008
IEEE
14 years 8 months ago
Dual generative models for human motion estimation from an uncalibrated monocular camera
We propose a new approach to estimate gait kinematics from image sequences taken by a monocular uncalibrated camera. This approach involves two generative models for gait represen...
Guoliang Fan, Xin Zhang
ICPR
2004
IEEE
14 years 8 months ago
A Probabilistic Framework for Joint Head Tracking and Pose Estimation
Head Tracking and pose estimation are usually considered as two sequential and separate problems: pose is estimated on the head patch provided by a tracking module. However, preci...
Jean-Marc Odobez, Sileye O. Ba