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» A Generative Model Based Approach to Motion Segmentation
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ICIG
2009
IEEE
13 years 5 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa
ICCAD
2001
IEEE
102views Hardware» more  ICCAD 2001»
14 years 4 months ago
Simulation-Based Automatic Generation of Signomial and Posynomial Performance Models for Analog Integrated Circuit Sizing
This paper presents a method to automatically generate posynomial response surface models for the performance parameters of analog integrated circuits. The posynomial models enabl...
Walter Daems, Georges G. E. Gielen, Willy M. C. Sa...
MTA
2010
175views more  MTA 2010»
13 years 6 months ago
Automatic summarization of rushes video using bipartite graphs
In this paper we present a new approach for automatic summarization of rushes video. Our approach is composed of three main steps. First, based on a temporal segmentation, we filte...
Liang Bai, Yan-Li Hu, Songyang Lao, Alan F. Smeato...
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
TITB
2010
197views Education» more  TITB 2010»
13 years 2 months ago
Detection of left ventricular motion abnormality via information measures and Bayesian filtering
We present an original information theoretic measure of heart motion based on the Shannon's differential entropy (SDE), which allows heart wall motion abnormality detection. B...
Kumaradevan Punithakumar, Ismail Ben Ayed, Ian G. ...