English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/30381
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


Boosting histograms of oriented gradients for human detection

AuthorsPedersoli, Marco; Gonzàlez, Jordi; Chakraborty, Bhaskar; Villanueva, Juan J.
KeywordsObject recognition
Machine vision
Pattern recognition
Computer vision
Issue Date2007
CitationCVCRD 2007
AbstractIn this paper we propose a human detection framework based on an enhanced version of Histogram of Oriented Gradients (HOG) features. These feature descriptors are computed with the help of a precalculated histogram of square blocks. This novel method outperforms the integral of oriented histograms allowing the calculation of a single feature four times faster. Using Adaboost for HOG feature selection and Support Vector Machine as weak classifier, we build up a fast human classifier with an excellent detection rate.
DescriptionPresentado al 2nd Computer Vision: Advances in Research & Development celebrado en 2007 en Bellaterra (Spain).
Appears in Collections:(IRII) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
Boosting histograms.pdf156,03 kBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.