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ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 1 months ago
Local Correlation Tracking in Time Series
We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...
Spiros Papadimitriou, Jimeng Sun, Philip S. Yu
TMI
2010
175views more  TMI 2010»
13 years 2 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
ECCV
2010
Springer
13 years 9 months ago
Activities as Time Series of Human Postures
Abstract. This paper presents an exemplar-based approach to detecting and localizing human actions, such as running, cycling, and swinging, in realistic videos with dynamic backgro...
William Brendel, Sinisa Todorovic
CVPR
2007
IEEE
14 years 9 months ago
Modulation Domain Template Tracking
For the first time, we perform normalized correlation template tracking in the modulation domain. For each frame of the video sequence, we compute a multi-component AM-FM image mo...
Chuong T. Nguyen, Joseph P. Havlicek, Mark B. Year...
AMFG
2007
IEEE
327views Biometrics» more  AMFG 2007»
14 years 2 months ago
Integrating Multiple Visual Cues for Robust Real-Time 3D Face Tracking
Abstract. 3D face tracking is an important component for many computer vision applications. Most state-of-the-art tracking algorithms can be characterized as being either intensity...
Wei-Kai Liao, Douglas Fidaleo, Gérard G. Me...