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» Motion Field Estimation for Temporal Textures
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ICIP
2004
IEEE
14 years 8 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
TIP
2010
165views more  TIP 2010»
13 years 1 months ago
A Novel Approach to FRUC Using Discriminant Saliency and Frame Segmentation
Motion-Compensated Frame Interpolation (MCFI) is a technique used extensively for increasing the temporal frequency of a video sequence. In order to obtain a high quality interpola...
Natan Jacobson, Yen-Lin Lee, Vijay Mahadevan, Nuno...
MICCAI
2009
Springer
14 years 8 months ago
Interventional 4-D Motion Estimation and Reconstruction of Cardiac Vasculature without Motion Periodicity Assumption
Abstract. Anatomical and functional information of cardiac vasculature is a key component of future developments in the field of interventional cardiology. With the technology of C...
Christopher Rohkohl, Günter Lauritsch, Marcus...
ICMCS
2010
IEEE
271views Multimedia» more  ICMCS 2010»
13 years 8 months ago
Motion vector refinement for FRUC using saliency and segmentation
Motion-Compensated Frame Interpolation (MCFI) is a technique used extensively for increasing the temporal frequency of a video sequence. In order to obtain a high quality interpol...
Natan Jacobson, Yen-Lin Lee, Vijay Mahadevan, Nuno...
ISVC
2009
Springer
14 years 1 months ago
Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features
Abstract. We present an approach for articulated motion detection and pose estimation that uses only motion information. To estimate the pose and viewpoint we introduce a novel mot...
Shrinivas J. Pundlik, Stanley T. Birchfield