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ICIP
2005
IEEE
14 years 9 months ago
Visual tracking using sequential importance sampling with a state partition technique
Sequential importance sampling (SIS), also known as particle filtering, has drawn increasing attention recently due to its superior performance in nonlinear and non-Gaussian dynam...
Yan Zhai, Mark B. Yeary, Joseph P. Havlicek, Jean-...
ICIP
2007
IEEE
14 years 9 months ago
MAP Particle Selection in Shape-Based Object Tracking
The Bayesian filtering for recursive state estimation and the shape-based matching methods are two of the most commonly used approaches for target tracking. The Multiple Hypothesi...
Alessio Dore, Carlo S. Regazzoni, Mirko Musso
ICPR
2008
IEEE
14 years 9 months ago
Robust tracking of spatial related components
This paper introduces a hierarchical approach for multicomponent tracking, where the object-to-be-tracked is modeled as a group of spatial related parts. We propose to use a robus...
Horst Bischof, Michael Donoser, Thomas Mauthner
ICRA
2008
IEEE
116views Robotics» more  ICRA 2008»
14 years 2 months ago
A pure probabilistic approach to range-only SLAM
— Range-Only SLAM represents a difficult problem due to the inherent ambiguity of localizing either the robot or the beacons from distance measurements only. Most previous appro...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
EMMCVPR
2011
Springer
12 years 7 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen