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» Robust Principal Component Analysis for Computer Vision
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CVPR
2005
IEEE
16 years 3 months ago
A Hybrid Graphical Model for Robust Feature Extraction from Video
We consider a visual scene analysis scenario where objects (e.g. people, cars) pass through the viewing field of a static camera and need to be detected and segmented from the bac...
Ali Taylan Cemgil, Wojciech Zajdel, Ben J. A. Kr&o...
ICPR
2004
IEEE
16 years 2 months ago
Robust Detection of People in Thermal Imagery
We present a new contour analysis technique to detect people in thermal imagery. Background-subtraction is first used to identify local regions-of-interest. Gradient information w...
James W. Davis, Vinay Sharma
ICPR
2008
IEEE
15 years 8 months ago
A self-organized approach for unsupervised fault detection in multiple systems
An approach is proposed for automatic fault detection in a population of mechatronic systems. The idea is to employ self-organizing algorithms that produce lowdimensional represen...
Thorsteinn S. Rögnvaldsson, Georg Panholzer, ...
ICCVW
1999
Springer
15 years 6 months ago
A General Method for Feature Matching and Model Extraction
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods su er...
Clark F. Olson
ICIP
2003
IEEE
16 years 3 months ago
Image features that draw fixations
The ability to automatically detect `visually interesting' regions in an image has many practical applications especially in the design of active machine vision systems. This...
Umesh Rajashekar, Lawrence K. Cormack, Alan C. Bov...