CONSTRUCTING EFFICIENT CASCADE CLASSIFIERS FOR OBJECT DETECTION

Matthew Day, John A. Robinson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The effectiveness of the cascaded object detector has been demonstrated repeatedly, and the basic steps to generate one are well known. But it is not obvious how to ensure the resulting detector will be efficient. This paper offers a solution by introducing a performance criterion that combines detection rate, false positive rate and speed, and a new cost function based on two simple, rational objectives. The result is a novel method for structuring the cascade which consistently produces efficient classifiers.

Original languageEnglish
Title of host publication2010 17th IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING
Place of PublicationNEW YORK
PublisherIEEE
Pages3781-3784
Number of pages4
ISBN (Electronic)978-1-4244-7993-1
ISBN (Print)978-1-4244-7994-8
DOIs
Publication statusPublished - 2010

Keywords

  • FACE DETECTION

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