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» Optimal Filters for Gradient-based Motion Estimation
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TCSV
2008
131views more  TCSV 2008»
13 years 4 months ago
Fast Optimal Motion Estimation Based on Gradient-Based Adaptive Multilevel Successive Elimination
In this paper, we propose a fast and optimal solution for block motion estimation based on an adaptive multilevel successive elimination algorithm. This algorithm is accomplished b...
Shao-Wei Liu, Shou-Der Wei, Shang-Hong Lai
ICCV
1999
IEEE
14 years 6 months ago
Optimal Filters for Gradient-based Motion Estimation
Gradient based approaches for motion estimation (Optical-Flow) estimate the motion of an image sequence based on local changes in the image intensities. In order to best evaluate ...
Michael Elad, Patrick C. Teo, Yacov Hel-Or
ICIP
2003
IEEE
14 years 6 months ago
Towards objective performance analysis for estimation of complex motion: analytic motion modeling, filter optimization, and test
This paper deals with several aspects towards a more objective performance analysis of low-level motion analysis. A generalized spatiotemporal filter formulation and motion modeli...
Bernd Jähne, Christoph S. Garbe
IWCM
2004
Springer
13 years 10 months ago
Wiener-Optimized Discrete Filters for Differential Motion Estimation
Abstract. Differential motion estimation is based on detecting brightness changes in local image structures. Filters approximating the local gradient are applied to the image seque...
Kai Krajsek, Rudolf Mester
ICMLA
2007
13 years 6 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...