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ICASSP
2011
IEEE
14 years 4 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
DCC
2007
IEEE
15 years 12 months ago
A Stochastic Model for Video and its Information Rates
We propose a stochastic model for video and compute its information rates. The model has two sources of information representing ensembles of camera motion and visual scene data (...
Arthur L. da Cunha, Minh N. Do, Martin Vetterli
ICCV
2003
IEEE
16 years 2 months ago
Filtering Using a Tree-Based Estimator
Within this paper a new framework for Bayesian tracking is presented, which approximates the posterior distribution at multiple resolutions. We propose a tree-based representation...
Bjoern Stenger, Arasanathan Thayananthan, Philip H...
AVSS
2006
IEEE
15 years 6 months ago
3D Human Motion Analysis in Monocular Video Techniques and Challenges
Extracting meaningful 3D human motion information from video sequences is of interest for applications like intelligent humancomputer interfaces, biometrics, video browsing and ind...
Cristian Sminchisescu
AVSS
2009
IEEE
15 years 3 months ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni