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» Hierarchical Model-Based Motion Estimation
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IBPRIA
2005
Springer
14 years 1 months ago
From Moving Edges to Moving Regions
In this paper, we propose a new method to extract moving objects from a video stream without any motion estimation. The objective is to obtain a method robust to noise, large motio...
Loic Biancardini, Eva Dokladalova, Serge Beucher, ...
ICIP
2000
IEEE
14 years 9 months ago
Robust Image Registration Using Log-Polar Transform
This paper describes a hierarchical image registration algorithm for affine motion recovery. The algorithm estimates the affine transformation parameters necessary to register any...
George Wolberg, Siavash Zokai
ICCV
2005
IEEE
14 years 9 months ago
Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
Although variational methods are among the most accurate techniques for estimating the optical flow, they have not yet entered the field of real-time vision. Main reason is the gr...
Andrés Bruhn, Joachim Weickert
ICCV
2011
IEEE
12 years 7 months ago
Object Segmentation in Video: A Hierarchical Variational Approach for Turning Point Trajectories into Dense Regions
Point trajectories have emerged as a powerful means to obtain high quality and fully unsupervised segmentation of objects in video shots. They can exploit the long term motion dif...
Peter Ochs, Thomas Brox
DAGM
2004
Springer
14 years 1 months ago
Silhouette Based Human Motion Estimation
This paper proposes a system for model based human motion estimation. We start with a human model generation system, which uses a set of input images to automatically generate a f...
Bodo Rosenhahn, Reinhard Klette, Gerald Sommer