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» A New Method for Computing Optical Flow
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CVPR
2008
IEEE
14 years 9 months ago
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
Björn Andres, Claudia Kondermann, Daniel Kond...
ICPR
2006
IEEE
14 years 9 months ago
Improving human activity detection by combining multi-dimensional motion descriptors with boosting
A new, combined human activity detection method is proposed. Our method is based on Efros et al.'s motion descriptors[2] and Ke et al.'s event detectors[3]. Since both m...
Josef Kittler, Seiji Ishikawa, Takehito Ogata, Wil...
CVPR
2012
IEEE
11 years 10 months ago
Optical flow in the presence of spatially-varying motion blur
This paper extends the classical warping-based optical flow method to achieve accurate flow in the presence of spatially-varying motion blur. Our idea is to parameterize the app...
Travis Portz, Li Zhang, Hongrui Jiang
ICIP
2000
IEEE
14 years 9 months ago
A Data Fusion Solution to the Accuracy-Efficiency Trade-Off Problem in Motion Estimation
There is often a trade-off between the accuracy and the speed of optical flow techniques. Given similar computational resources, this trade-off results in some techniques making i...
Andrew M. Peacock, David S. Renshaw, John M. Hanna...
SCALESPACE
2007
Springer
14 years 1 months ago
Dense Optical Flow Estimation from the Monogenic Curvature Tensor
In this paper, we address the topic of estimating two-frame dense optical flow from the monogenic curvature tensor. The monogenic curvature tensor is a novel image model, from whi...
Di Zang, Lennart Wietzke, Christian Schmaltz, Gera...