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» Multiple parametric motion model estimation and segmentation
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ICIP
2004
IEEE
15 years 11 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
ECCV
2006
Springer
15 years 11 months ago
Variational Motion Segmentation with Level Sets
We suggest a variational method for the joint estimation of optic flow and the segmentation of the image into regions of similar motion. It makes use of the level set framework fol...
Thomas Brox, Andrés Bruhn, Joachim Weickert
VLSID
2002
IEEE
127views VLSI» more  VLSID 2002»
15 years 10 months ago
Switching Activity Estimation of Large Circuits using Multiple Bayesian Networks
Switching activity estimation is a crucial step in estimating dynamic power consumption in CMOS circuits. In [1], we proposed a new switching probability model based on Bayesian N...
Sanjukta Bhanja, N. Ranganathan
FGR
2000
IEEE
141views Biometrics» more  FGR 2000»
15 years 2 months ago
Multiple Cues used in Model-Based Human Motion Capture
Human motion capture has lately been the object of much attention due to commercial interests. A ”touch free” computer vision solution to the problem is desirable to avoid the...
Thomas B. Moeslund, Erik Granum
94
Voted
CVPR
1997
IEEE
15 years 11 months ago
Independent 3D Motion Detection Based on Depth Elimination in Normal Flow Fields
This paper considers a specific problem of visual perception of motion, namely the problem of visual detection of independent 3D motion. Most of the existing techniques for solvin...
Antonis A. Argyros, Stelios C. Orphanoudakis