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» Learning for Optical Flow Using Stochastic Optimization
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ALIFE
2002
13 years 7 months ago
Ant Colony Optimization and Stochastic Gradient Descent
In this paper, we study the relationship between the two techniques known as ant colony optimization (aco) and stochastic gradient descent. More precisely, we show that some empir...
Nicolas Meuleau, Marco Dorigo
CVPR
2009
IEEE
15 years 3 months ago
Large Displacement Optical Flow
The literature currently provides two ways to establish point correspondences between images with moving objects. On one side, there are energy minimization methods that yield v...
Thomas Brox (University of California, Berkeley), ...
ICMCS
2006
IEEE
231views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Performance of Optical Flow Techniques on Graphics Hardware
Since graphics cards have become programmable the recent years, numerous computationally intensive algorithms have been implemented on the now called General Purpose Graphics Proc...
Marko Durkovic, Michael Zwick, Florian Obermeier, ...
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
WCE
2007
13 years 8 months ago
Motion Detection Based On Accumulative Optical Flow and Double Background Filtering
—Moving object detection is very important for video surveillance. In this paper, we present a new real time motion detection algorithm that is based on the integration of accumu...
Nan Lu, Jihong Wang, Li Yang, Q. Henry Wu