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» Components for Object Detection and Identification
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CEC
2010
IEEE
14 years 10 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»
15 years 3 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
15 years 10 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
15 years 10 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»
15 years 4 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