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Response binning: Improved weak classifiers for boosting
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2006 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper demonstrates the value of improving the discriminating strength of weak classifiers in the context of boosting by using response binning. The reasoning is centered around, but not limited to, the well known Haar-features used by Viola & Jones in their face detection/pedestrian detection systems. It is shown that using a weak classifier based on a single threshold is sub-optimal and in the case of the Haar-feature inadequate. A more general method for features with multi-modal responses is derived that is easily used in boosting mechanisms that accepts a confidence measure, such as the RealBoost algorithm. The method is evaluated by boosting a single stage classifier and compare the performance to previous approaches.

Place, publisher, year, edition, pages
NEW YORK: IEEE , 2006. 344-349 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-42400DOI: 10.1109/IVS.2006.1689652ISI: 000242043800084Scopus ID: 2-s2.0-34547352223ISBN: 490112286X (print)ISBN: 978-490112286-3 OAI: oai:DiVA.org:kth-42400DiVA: diva2:447264
Conference
2006 IEEE Intelligent Vehicles Symposium, IV 2006, Meguro-Ku, Tokyo, Japan, JUN 13-15, 2006
Note

QC 20141112

Available from: 2011-10-11 Created: 2011-10-10 Last updated: 2016-12-21Bibliographically approved

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Rasolzadeh, BabakPetersson, LarsPettersson, Niklas
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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