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» Robust Estimation of Camera Motion Using Optical Flow Models
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CVPR
2004
IEEE
14 years 10 months ago
Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation
Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When...
Anurag Mittal, Nikos Paragios
ISCAS
2007
IEEE
141views Hardware» more  ISCAS 2007»
14 years 2 months ago
Active Visual Tracking of Heading Direction By Combining Motion Energy Neurons
- We describe a robotic vision system that aligns a camera's optical axis with its direction of translation by estimating the focus of expansion. Visual processing is based on...
Stanley Y. M. Lam, Bertram Emil Shi
ECCV
2006
Springer
13 years 11 months ago
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching
Abstract. A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is...
Xingzhi Luo, Suchendra M. Bhandarkar
ECCV
2000
Springer
14 years 9 months ago
Hand-Eye Calibration from Image Derivatives
In this paper it is shown how to perform hand-eye calibration using only the normal flow field and knowledge about the motion of the hand. The proposed method comprise a simple way...
Henrik Malm, Anders Heyden
DAGM
2008
Springer
13 years 9 months ago
An Unbiased Second-Order Prior for High-Accuracy Motion Estimation
Abstract. Virtually all variational methods for motion estimation regularize the gradient of the flow field, which introduces a bias towards piecewise constant motions in weakly te...
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...