Framework for Research on Detection Classifiers

Nástroje pro podporu výzkumu detekčních klasifikátorů

software

Use of the result by another entity is possible without acquiring a license in some cases

The licensor requires a license fee for the result

Hradiš Michal, Ing., Ph.D. (DCGM)
Juránek Roman, Ing., Ph.D. (DCGM)

AdaBoost, WaldBoost, Classification, Detection, Face Detection

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.

http://pcjuranek.fit.vutbr.cz/trenovadlo/

Algorithms of image recognition, GACR, Standardní projekty, GA201/06/1821, 2006-2008, completed
Centre of computer graphics, MŠMT, Centra základního výzkumu, LC06008, 2006-2011, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, 2007-2013, running

Computer Graphics Research Group (RG GRAPH)

Department of Computer Graphics and Multimedia (DCGM)