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» Boosting Object Detection Using Feature Selection
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CCIA
2005
Springer
15 years 3 months ago
Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks
Abstract. This paper presents a new feature selection method and an outliers detection algorithm. The presented method is based on using a genetic algorithm combined with a problem...
Agusti Solanas, Enrique Romero, Sergio Góme...
ICIP
2009
IEEE
16 years 3 months ago
Rapid And Robust Human Detection And Tracking Based On Omega-shape Features
This paper proposes a novel method for rapid and robust human detection and tracking based on the omega-shape features of people's head-shoulder parts. There are two modules ...
CVPR
2007
IEEE
15 years 8 months ago
Pedestrian Detection in Infrared Images based on Local Shape Features
Use of IR images is advantageous for many surveillance applications where the systems must operate around the clock and external illumination is not always available. We investiga...
Li Zhang, Bo Wu, Ram Nevatia
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
16 years 7 months ago
On Feature Combination for Multiclass Object Classification
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intra-class variations. Whil...
Peter Gehler, Sebastian Nowozin
ECCV
2006
Springer
16 years 3 months ago
Towards Optimal Training of Cascaded Detectors
Cascades of boosted ensembles have become popular in the object detection community following their highly successful introduction in the face detector of Viola and Jones [1]. In t...
S. Charles Brubaker, Matthew D. Mullin, James M. R...