Earlier research on a particular phase based method for estimation of dense motion fields show promising results for complicated sequences. Typical for phase based methods is a decomposition of the sequence into directional signals by directional filters. From each directional signal a component velocity can be estimated. In this context we propose a method for estimating component velocities which further improves the accuracy, by modelling 2D space-time slices in the direction of the filters as single component AM-FM modulated signals. A method for demodulation based on quasi eigenfunction approximation is the basis for estimation of component velocities, along with a tensor formulation and eigenvector analysis of this tensor. We demonstrate the method on the well known reference sequence Yosemite fly-by and the Rubic's cube sequence.
Dense motion field estimation using spatial filtering and quasi eigenfunction approximations
IEEE International Conference on Image Processing 2005 ; 3 ; III-1268
2005-01-01
365104 byte
Conference paper
Electronic Resource
English
Dense Motion Field Estimation using Spatial Filtering and Quasi Eigenfunction approximations
British Library Conference Proceedings | 2005
|Estimation of Motion Vector Fields using Tensor Field Filtering
British Library Conference Proceedings | 1994
|Model-Based Face Tracking for Dense Motion Field Estimation
British Library Conference Proceedings | 2001
|Uncertainty Propagation Using Random Eigenfunction Expansion Method
British Library Conference Proceedings | 2013
|