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99
Voted
ICASSP
2010
IEEE
15 years 1 months ago
Robust background modeling via standard variance feature
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance feature i...
Bineng Zhong, Hongxun Yao, Shaohui Liu
ICASSP
2010
IEEE
15 years 1 months ago
Under-determined convolutive blind source separation using spatial covariance models
This paper deals with the problem of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency d...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...
96
Voted
ICASSP
2010
IEEE
14 years 11 months ago
A HMM-based speech synthesis system using a new glottal source and vocal-tract separation method
This paper introduces a HMM-based speech synthesis system which uses a new method for the Separation of Vocal-tract and LiljencrantsFant model plus Noise (SVLN). The glottal sourc...
Pierre Lanchantin, Gilles Degottex, Xavier Rodet
84
Voted
ICIP
2009
IEEE
14 years 10 months ago
A generalized vector-valued total variation algorithm
We propose a simple but flexible method for solving the generalized vector-valued TV (VTV) functional, which includes both the 2 -VTV and 1 -VTV regularizations as special cases, ...
Paul Rodriguez, Brendt Wohlberg
137
Voted
ICIP
2010
IEEE
14 years 10 months ago
Robust and efficient background subtraction by quadratic polynomial fitting
We present a background subtraction algorithm aimed at efciency and robustness to common sources of disturbance such as illumination changes, camera gain and exposure variations, ...
Alessandro Lanza, Federico Tombari, Luigi di Stefa...