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» Components for Object Detection and Identification
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CEC
2010
IEEE
13 years 8 months ago
An analysis of clustering objectives for feature selection applied to encrypted traffic identification
This work explores the use of clustering objectives in a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, under the application...
Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. ...
CRV
2005
IEEE
118views Robotics» more  CRV 2005»
14 years 1 months ago
An Object Detection System using Image Reconstruction with PCA
We present an object detection system that is applied to detecting pedestrians in still images, without assuming any a priori knowledge about the image. The system works as follow...
Luis Malagón-Borja, Olac Fuentes
ICPR
2004
IEEE
14 years 8 months ago
A Strongly Coupled Architecture for Contextual Object and Scene Identification
The context-centered approach to object detection and recognition is based on the intuition that the contextual information of real-world scenes provides relevant information for ...
James J. Clark, Tina Ehtiati
ICPR
2004
IEEE
14 years 8 months ago
Automated Visual Identification of Characters in Situation Comedies
The objectives of the work described in this paper are simply stated: given examples of a particular person and an unlabelled video, we wish to find every instance of that person ...
Andrew Zisserman, Mark Everingham
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
14 years 1 months ago
Human detection using iterative feature selection and logistic principal component analysis
— We present a fast feature selection algorithm suitable for object detection applications where the image being tested must be scanned repeatedly to detected the object of inter...
Wael Abd-Almageed, Larry S. Davis