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» A Generative Model Based Approach to Motion Segmentation
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ICPR
2002
IEEE
14 years 18 days ago
Motion Estimation and Figure-Ground Segmentation Using Log-Polar Images
A motion estimation algorithm for log-polar images, based on a previous general framework [2], is presented. The advantages and disadvantages brought by the use of this kind of fo...
V. Javier Traver, Filiberto Pla
ICIP
2006
IEEE
14 years 9 months ago
Light and Fast Statistical Motion Detection Method Based on Ergodic Model
In this paper, we propose a light and fast pixel-based statistical motion detection method based on a background subtraction procedure. The statistical representation of the backg...
Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
CVIU
2000
91views more  CVIU 2000»
13 years 7 months ago
Attentional Scene Segmentation: Integrating Depth and Motion
We present an approach to attention in active computer vision. The notion of attention plays an important role in biological vision. In recent years, and especially with the emergi...
Atsuto Maki, Peter Nordlund, Jan-Olof Eklundh
ICIP
2004
IEEE
14 years 9 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
12 years 7 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers