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» Background Subtraction Based on a Robust Consensus Method
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ICCV
1998
IEEE
14 years 9 months ago
Consensus Surfaces for Modeling 3D Objects from Multiple Range Images
In this paper, we present a robust method for creating a triangulated surface mesh from multiple range images. Our method merges a set of range images into a volumetric implicit-s...
Mark D. Wheeler, Yoichi Sato, Katsushi Ikeuchi
ICPR
2008
IEEE
14 years 1 months ago
Detecting shadows of moving vehicles based on HMM
Vehicle detection and classification are invaluable in many transportation systems, such as traffic flow analysis, abnormal events detection, automotive driver assistant systems a...
Yuxuan Wang, Heng-Da Cheng, Juan Shan
AVSS
2003
IEEE
14 years 20 days ago
A Distributed Visual Surveillance System
We present a distributed vision-based surveillance system. The system acquires and processes grey level images through one or multiple Camera Units monitoring certain area(s) via ...
Xiaojing Yuan, Zehang Sun, Yaakov L. Varol, George...
BMCBI
2006
187views more  BMCBI 2006»
13 years 7 months ago
Detecting outliers when fitting data with nonlinear regression - a new method based on robust nonlinear regression and the false
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
Harvey J. Motulsky, Ronald E. Brown
GREC
2009
Springer
13 years 5 months ago
Robust and Precise Circular Arc Detection
In this paper we present a method to robustly detect circular arcs in a line drawing image. The method is fast, robust and very reliable, and is capable of assessing the quality of...
Bart Lamiroy, Yassine Guebbas