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CVPR
2008
IEEE
10 years 11 months ago
Real time object tracking based on dynamic feature grouping with background subtraction
Object detection and tracking has various application areas including intelligent transportation systems. We introduce an object detection and tracking approach that combines the ...
ZuWhan Kim
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
10 years 11 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
CVPR
2007
IEEE
10 years 11 months ago
Multi-Layer Background Subtraction Based on Color and Texture
In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and pho...
Jian Yao, Jean-Marc Odobez
ICPR
2008
IEEE
10 years 4 months ago
Background subtraction technique based on chromaticity and intensity patterns
This paper presents an efficient Real-Time method for detecting moving objects in unconstrained environments, using a background subtraction technique. A new background model that...
Ariel Amato, Mikhail Mozerov, Ivan Huerta Casado, ...
ECCV
2002
Springer
10 years 11 months ago
Tracking and Object Classification for Automated Surveillance
In this paper we discuss the issues that need to be resolved before fully automated outdoor surveillance systems can be developed, and present solutions to some of these problems. ...
Omar Javed, Mubarak Shah
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