Conference paper

JURÁNEK Roman, HRADIŠ Michal and ZEMČÍK Pavel. Platform for Teaching Detection Classifiers. In: Proceedings of Digital Technologies 2010. Žilina: Zilina University Publisher, 2010, p. 5. ISBN 978-80-554-0304-5.
Publication language:english
Original title:Platform for Teaching Detection Classifiers
Title (cs):Platforma pro výuku detekčních klasifikátorů
Proceedings:Proceedings of Digital Technologies 2010
Conference:Digital Technologies 2010
Place:Žilina, SK
Publisher:Zilina University Publisher
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Object Detection, AdaBoost, WaldBoost, Machine Learning, Teaching
Scanning using very fast classifiers is a standard and successful approach to object detection in images. This approach became popular after Viola and Jones introduced their frontal face detector in 2001 which was able to reliably detect faces in unconstrained condition and in real-time. Although detecting objects by these classifiers is taught in many computer vision courses, it is not possible for the students to experiment with the methods because the existing implementations require significant initial effort to be able to train and test a classifier and to interpret the detection results in an intuitive way. In this paper, we describe a web-based application which allows experimenting with detection classifiers with minimal initial effort. The application has an intuitive user interface which allows for simple configuration of experiments and management of results. It also provides pre-prepared experiments and datasets in order to further reduce the initial effort. The application is publicly available so anyone can experiment with the detection classifiers and also train detectors on their own data. The application has a potential to become a useful teaching tool for lecturers of computer vision courses and for other interested people.
   author = {Roman Jur{\'{a}}nek and Michal Hradi{\v{s}} and
	Pavel Zem{\v{c}}{\'{i}}k},
   title = {Platform for Teaching Detection Classifiers},
   pages = {5},
   booktitle = {Proceedings of Digital Technologies 2010},
   year = {2010},
   location = {{\v{Z}}ilina, SK},
   publisher = {Zilina University Publisher},
   ISBN = {978-80-554-0304-5},
   language = {english},
   url = {}

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