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» Robust Computer Vision through Kernel Density Estimation
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CVPR
2006
IEEE
15 years 11 months ago
Tunable Kernels for Tracking
We present a tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking. The cl...
Vasu Parameswaran, Visvanathan Ramesh, Imad Zoghla...
81
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ICCV
2005
IEEE
15 years 11 months ago
Multi-Scale Gesture Recognition from Time-Varying Contours
A novel method is introduced to recognize and estimate the scale of time-varying human gestures. It exploits the changes in contours along spatio-temporal directions. Each contour...
Hong Li, Michael A. Greenspan
ICCV
2007
IEEE
15 years 11 months ago
Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions
We describe a novel variational segmentation algorithm designed to split an image in two regions based on their intensity distributions. A functional is proposed to integrate the ...
Benoit Mory, Roberto Ardon, Jean-Philippe Thiran
ICPR
2008
IEEE
15 years 4 months ago
Orientation and scale invariant mean shift using object mask-based kernel
In this paper, we propose a new method for object tracking based on mean shift algorithm using a kernel which has the shape of the target object, and with probabilistic estimation...
Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi
ICPR
2006
IEEE
15 years 10 months ago
Robust Head Pose Estimation Using LGBP
In this paper, we introduce a novel discriminative feature which is efficient for pose estimation. The multi-view face representation is based on Local Gabor Binary Patterns(LGBP)...
Bingpeng Ma, Wenchao Zhang, Shiguang Shan, Xilin C...