Result Details

Framework for research on detection classifiers

Created: 2008
Type
software
Language
English
Authors
Hradiš Michal, Ing., Ph.D., FIT (FIT), DCGM (FIT)
Juránek Roman, Ing., Ph.D., FIT (FIT), DCGM (FIT)
Description

Framework for creating and testing of classifiers for detection of objects in images. An web interface is provided for entry-level users. The detection classifiers can be created by WaldBoost algorithm, AdaBoost, ... The classifiers can use various features in their weak classifiers. The possible features include Haar-like features, Local Binary Patterns, Local Rank Patterns, Local Rank Differences, PCA, LDA, localized PCA/LDA etc.

Keywords

AdaBoost, WaldBoost, Classification, Detection, Face Detection

URL
License
Use of the result by another entity is possible without acquiring a license in some cases
License Fee
The licensor requires a license fee for the result
Projects
Algorithms of image recognition, GACR, Standardní projekty, GA201/06/1821, start: 2006-01-01, end: 2008-12-31, completed
Centre of computer graphics, MŠMT, Centra základního výzkumu, LC06008, start: 2006-03-01, end: 2011-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Departments
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