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JMM2
2006
212views more  JMM2 2006»
13 years 7 months ago
K-means Tracker: A General Algorithm for Tracking People
Abstract-- In this paper, we present a clustering-based tracking algorithm for tracking people (e.g. hand, head, eyeball, body, and lips). It is always a challenging task to track ...
Chunsheng Hua, Haiyuan Wu, Qian Chen, Toshikazu Wa...
UAI
2004
13 years 9 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
ICASSP
2009
IEEE
13 years 11 months ago
Learning to maximize signal-to-noise ratio for reverberant speech segregation
Monaural speech segregation in reverberant environments is a very difficult problem. We develop a supervised learning approach by proposing an objective function that directly rel...
Zhaozhang Jin, DeLiang Wang
ICPR
2010
IEEE
13 years 11 months ago
An LDA-Based Relative Hysteresis Classifier with Application to Segmentation of Retinal Vessels
In a pattern classification setup, image segmentation is achieved by assigning each pixel to one of two classes: object or background. The special case of vessel segmentation is c...
Alexandru Paul Condurache, Alfred Mertins
ICIP
2008
IEEE
14 years 2 months ago
Level set tracking with dynamical shape priors
Dynamical shape priors are curical for level set-based nonrigid object tracking with noise, occlusions or background clutter. In this paper, we propose a level set tracking framew...
Xue Zhou, Xi Li, Weiming Hu