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» Higher order motion models and spectral clustering
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CVPR
2012
IEEE
11 years 10 months ago
Higher order motion models and spectral clustering
Motion segmentation based on point trajectories can integrate information of a whole video shot to detect and separate moving objects. Commonly, similarities are defined between ...
Peter Ochs, Thomas Brox
ICIP
2000
IEEE
14 years 9 months ago
Higher-Order Spectral Analysis of Human Motion
We describe a higher-orderspectralanalysis-basedapproach for detecting people by recognizing human motion such as walking or running. The periodic attribute of human motion lends ...
A. N. Rajagopalan, Rama Chellappa
ICVGIP
2004
13 years 9 months ago
Probabilistic Measures for Motion Segmentation
The first contribution of this paper is a probabilistic approach for measuring motion similarity for point sequences. While most motion segmentation algorithms are based on a rank...
Venu Madhav Govindu
ICIP
2005
IEEE
14 years 1 months ago
Higher order polynomials, free form deformations and optical flow estimation
In this paper, we propose a novel technique to represent and recover optical flow through free form deformations. Such a technique is based on representing the motion field usin...
Konstantinos Karantzalos, Nikos Paragios
ECCV
2010
Springer
14 years 20 days ago
TriangleFlow: Optical Flow with Triangulation-based Higher-Order Likelihoods
Abstract. We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photoconsistency cost and a prior on affine mo...