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ICPR
2010
IEEE
15 years 5 months ago
High-Level Feature Extraction Using SIFT GMMs and Audio Models
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, S...
IJCV
2007
140views more  IJCV 2007»
15 years 5 months ago
Background-Subtraction in Thermal Imagery Using Contour Saliency
We present a new contour-based background-subtraction technique to extract foreground objects in widely varying thermal imagery. Statistical background-subtraction is first used t...
James W. Davis, Vinay Sharma
TIP
2008
69views more  TIP 2008»
15 years 5 months ago
An Efficient Phase and Object Estimation Scheme for Phase-Diversity Time Series Data
We present a two-stage method for obtaining both phase and object estimates from phase-diversity time series data. In the first stage, the phases are estimated for each time frame...
Johnathan M. Bardsley
TSP
2008
102views more  TSP 2008»
15 years 5 months ago
Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
Vladimir Katkovnik, Vladimir Spokoiny
TSP
2008
116views more  TSP 2008»
15 years 5 months ago
Fast Blind Separation of Long Mixture Recordings Using Multivariate Polynomial Identification
This correspondence presents new approaches for optimizing kurtosis-based separation criteria in the case of long mixture recordings. Our methods are based on a multivariate polyno...
Johan Thomas, Yannick Deville, Shahram Hosseini