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» Kernel density estimation in adaptive tracking
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SIAMCO
2008
98views more  SIAMCO 2008»
13 years 4 months ago
Kernel Density Estimation and Goodness-of-Fit Test in Adaptive Tracking
We investigate the asymptotic properties of a recursive kernel density estimator associated with the driven noise of a linear regression in adaptive tracking. We provide an almost ...
Bernard Bercu, Bruno Portier
HUMO
2007
Springer
13 years 11 months ago
Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking
In this paper, we suggest to model priors on human motion by means of nonparametric kernel densities. Kernel densities avoid assumptions on the shape of the underlying distribution...
Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-...
CDC
2008
IEEE
106views Control Systems» more  CDC 2008»
13 years 11 months ago
Kernel density estimation in adaptive tracking
Bernard Bercu, Bruno Portier
PRL
2002
106views more  PRL 2002»
13 years 4 months ago
Kernel density estimation with adaptive varying window size
A new method of kernel density estimation with a varying adaptive window size is proposed. It is based on the socalled intersection of confidence intervals (ICI) rule. Several exa...
Vladimir Katkovnik, Ilya Shmulevich
CVPR
2005
IEEE
14 years 6 months ago
Multiple Object Tracking with Kernel Particle Filter
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
Cheng Chang, Rashid Ansari, Ashfaq A. Khokhar