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HUMO
2007
Springer
14 years 2 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-...
SIAMCO
2008
98views more  SIAMCO 2008»
13 years 8 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
CVPR
2007
IEEE
14 years 10 months ago
Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection
Tracking objects using the mean shift method is performed by iteratively translating a kernel in the image space such that the past and current object observations are similar. Tr...
Alper Yilmaz
TREC
2008
13 years 9 months ago
York University at TREC 2008: Blog Track
York University participated in the TREC 2008 Blog track, by introducing two opinion finding features. By initially focusing solely on the sentiment terms found in a document, usi...
Mladen Kovacevic, Xiangji Huang
ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
13 years 6 months ago
A combination of particle filtering and deterministic approaches for multiple kernel tracking
Color-based tracking methods have proved to be efficient for their robustness qualities. The drawback of such global representation of an object is the lack of information on its s...
Céline Teuliere, Éric Marchand, Laur...