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ECCV
2000
Springer
16 years 9 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis
ICPR
2008
IEEE
16 years 8 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
ICPR
2004
IEEE
16 years 8 months ago
A Wrapper-Based Approach to Image Segmentation and Classification
The traditional processing flow of segmentation followed by classification in computer vision assumes that the segmentation is able to successfully extract the object of interest....
Anil K. Jain, Michael E. Farmer
ICPR
2002
IEEE
16 years 8 months ago
Automated Feature Registration for Robust Tracking Methods
Tracking people within a scene has been a longstanding challenge in the field of computer vision. A common approach involves matching the background against the incoming video str...
Shawn Arseneau, Jeremy R. Cooperstock
ICPR
2002
IEEE
16 years 8 months ago
Visual Orientation in the Sewer Adaptation to the Environment
Most biological systems employ visually acquired information for their locomotion. In the course of evolutionary history, the visual system of organisms has evolved to be adapted ...
Marina Kolesnik