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» Confidence measures for block matching motion estimation
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DAGM
2008
Springer
13 years 9 months ago
Model-Based Motion Capture for Crash Test Video Analysis
Abstract. In this work, we propose a model-based approach for estimating the 3D position and orientation of a dummy's head for crash test video analysis. Instead of relying on...
Juergen Gall, Bodo Rosenhahn, Stefan Gehrig, Hans-...
MICCAI
2007
Springer
14 years 8 months ago
Characterizing Spatio-temporal Patterns for Disease Discrimination in Cardiac Echo Videos
Disease-specific understanding of echocardiographic sequences requires accurate characterization of spatio-temporal motion patterns. In this paper we present a method of automatic ...
Tanveer Fathima Syeda-Mahmood, Fei Wang, David Bey...
ICIP
2004
IEEE
14 years 9 months ago
Audio-visual flow -a variational approach to multi-modal flow estimation
Just as a motion field is associated to a moving object, an audio field can be associated to an object that can behave as a sound source. The flow field of such a sound source whi...
Raffay Hamid, Aaron F. Bobick, Anthony J. Yezzi
FGR
2000
IEEE
230views Biometrics» more  FGR 2000»
13 years 12 months ago
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated video sequences. The proposed method relies on a 3D/2D matchi...
Marius Malciu, Françoise J. Prêteux
ICIP
2004
IEEE
14 years 9 months ago
Robust ego-motion estimation and 3d model refinement using depth based parallax model
We present an iterative algorithm for robustly estimating the egomotion and refining and updating a coarse, noisy and partial depth map using a depth based parallax model and brig...
Amit K. Agrawal, Rama Chellappa