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ICPR
2008
IEEE

On-line boosted cascade for object detection

13 years 10 months ago
On-line boosted cascade for object detection
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong classifier, the on-line algorithm updates the ensemble using new incoming samples. This idea has been successfully exploited in tasks such as detection and tracking as a classification problem with good results. Our purpose is to provide an efficient and robust framework to build a cascade of on-line updated classifiers that, speeding up the application time, allows the employment of a higher number of features, thus achieving better detection performance.
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
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