%0 Conference Paper
%B Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
%D 2005
%T Kernel-based Bayesian filtering for object tracking
%A Han,Bohyung
%A Zhu,Ying
%A Comaniciu, D.
%A Davis, Larry S.
%K approach;
%K approximation;
%K Bayes
%K Bayesian
%K Carlo
%K density
%K detection;
%K filtering;
%K functions;
%K Gaussian
%K interpolation;
%K kernel-based
%K methods;
%K mixtures;
%K Monte
%K nonGaussian
%K nonlinear
%K object
%K particle
%K probability
%K probability;
%K processes;
%K recognition;
%K sampling
%K sampling;
%K sequences;
%K system;
%K tracking;
%K video
%X Particle filtering provides a general framework for propagating probability density functions in nonlinear and non-Gaussian systems. However, the algorithm is based on a Monte Carlo approach and sampling is a problematic issue, especially for high dimensional problems. This paper presents a new kernel-based Bayesian filtering framework, which adopts an analytic approach to better approximate and propagate density functions. In this framework, the techniques of density interpolation and density approximation are introduced to represent the likelihood and the posterior densities by Gaussian mixtures, where all parameters such as the number of mixands, their weight, mean, and covariance are automatically determined. The proposed analytic approach is shown to perform sampling more efficiently in high dimensional space. We apply our algorithm to real-time tracking problems, and demonstrate its performance on real video sequences as well as synthetic examples.
%B Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
%V 1
%P 227 - 234 vol. 1 - 227 - 234 vol. 1
%8 2005/06//
%G eng
%R 10.1109/CVPR.2005.199
%0 Conference Paper
%B Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
%D 2005
%T The manifolds of spatial hearing
%A Duraiswami, Ramani
%A Raykar,V.C.
%K acoustics;
%K dimensional
%K direction
%K distance;
%K EMBEDDING
%K encoding;
%K geodesic
%K Head
%K hearing
%K hearing;
%K HRIR
%K impulse
%K information
%K interpolation;
%K learned
%K linear
%K localization;
%K locally
%K low
%K manifold
%K manifold;
%K manifolds;
%K nonlinear
%K perceptual
%K related
%K response;
%K responses;
%K sound
%K source
%K spatial
%K structure;
%K technique;
%K transient
%X We present exploratory studies on learning the non-linear manifold structure, in head related impulse responses (HRIRs). We use the recently popular locally linear embedding technique. The lower dimensional manifold encodes the perceptual information in the HRIRs, namely the direction of the sound source. Based on this, we propose a new method for HRIR interpolation. We also propose that the distance between two HRIRs of an individual be taken as the geodesic distance on the learned manifold.
%B Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
%V 3
%P iii/285 - iii/288 Vol. 3 - iii/285 - iii/288 Vol. 3
%8 2005/03//
%G eng
%R 10.1109/ICASSP.2005.1415702
%0 Conference Paper
%B Information Fusion, 2005 8th International Conference on
%D 2005
%T A new approach to image fusion based on cokriging
%A Memarsadeghi,N.
%A Le Moigne,J.
%A Mount, Dave
%A Morisette,J.
%K ALI;
%K analysis;
%K based
%K cokriging;
%K component
%K data;
%K forecasting
%K fusion
%K fusion;
%K geophysical
%K geostatistical
%K Hyperion
%K image
%K Interpolation
%K interpolation;
%K invasive
%K ISFS
%K method;
%K metrics;
%K PCA;
%K principal
%K processing;
%K project;
%K QUALITY
%K quantitative
%K remote
%K remotely
%K sensed
%K sensing;
%K sensor
%K sensors;
%K signal
%K species
%K system;
%K techniques;
%K transforms;
%K wavelet
%K wavelet-based
%X We consider the image fusion problem involving remotely sensed data. We introduce cokriging as a method to perform fusion. We investigate the advantages of fusing Hyperion with ALI. This evaluation is performed by comparing the classification of the fused data with that of input images and by calculating well-chosen quantitative fusion quality metrics. We consider the invasive species forecasting system (ISFS) project as our fusion application. The fusion of ALI with Hyperion data is studied using PCA and wavelet-based fusion. We then propose utilizing a geostatistical based interpolation method called cokriging as a new approach for image fusion.
%B Information Fusion, 2005 8th International Conference on
%V 1
%P 8 pp. - 8 pp.
%8 2005/07//
%G eng
%R 10.1109/ICIF.2005.1591912
%0 Conference Paper
%B Information Visualization, 2002. INFOVIS 2002. IEEE Symposium on
%D 2002
%T Interactive information visualization of a million items
%A Fekete,J.-D.
%A Plaisant, Catherine
%K animation
%K animation;
%K cards;
%K Computer
%K count;
%K data
%K diagrams;
%K Graphics
%K hardware-based
%K information
%K interactive
%K interpolation;
%K overlap
%K plot
%K scatter
%K stereovision;
%K systems;
%K techniques;
%K treemaps;
%K visualisation;
%K visualization;
%X Existing information visualization techniques are usually limited to the display of a few thousand items. This article describes new interactive techniques capable of handling a million items (effectively visible and manageable on screen). We evaluate the use of hardware-based techniques available with newer graphics cards, as well as new animation techniques and non-standard graphical features such as stereovision and overlap count. These techniques have been applied to two popular information visualizations: treemaps and scatter plot diagrams; but are generic enough to be applied to other 2D representations as well.
%B Information Visualization, 2002. INFOVIS 2002. IEEE Symposium on
%P 117 - 124
%8 2002///
%G eng
%R 10.1109/INFVIS.2002.1173156