Optimization design of cascaded classifiers

We present two optimization algorithms for the design of a cascade of classifiers, which is becoming a popular choice for many classification problems. Both algorithms represent each node classifier of a cascade using a high-level abstraction model and attempt to jointly optimize the setting of the...

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Bibliographic Details
Published in2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 1; pp. 480 - 485 vol. 1
Main Author Huitao Luo
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Algorithm design and analysis
Control systems
Design optimization
Detectors
Face detection
Milling machines
Pattern classification
Performance gain
System performance
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Summary:We present two optimization algorithms for the design of a cascade of classifiers, which is becoming a popular choice for many classification problems. Both algorithms represent each node classifier of a cascade using a high-level abstraction model and attempt to jointly optimize the setting of the thresholding parameters of all the node classifiers within the cascade. We applied both algorithms to optimize the famous Viola and Jones face detector and one of them in particular greatly improved the performance. We believe both algorithms can serve as a useful post-processing process for general cascaded classifier design.
ISBN:0769523722
9780769523729
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2005.266