Publication Details

Detection of Dogs in Video Using Statistical Classifiers

JURÁNEK Roman. Detection of Dogs in Video Using Statistical Classifiers. In: Proceedings of International Conference on Computer Vision and Graphics 2008. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2008, p. 11. ISSN 0302-9743.
Czech title
Detekce psů ve videu pomocí statistických klasifikátorů
Type
conference paper
Language
english
Authors
Juránek Roman, Ing., Ph.D. (DCGM FIT BUT)
URL
Keywords

Statistical classifier, WaldBoost, AdaBoost, Dog detection

Abstract

A common approach to pattern recognition and object detection is to use a statistical classifier. Widely used method is AdaBoost or its modifications which yields outstanding results in certain tasks like face detection. The aim of this work was to build real-time system for detection of dogs for surveillance purposes. The author of this paper thus explored the possibility that the AdaBoost based classifiers could be used for this task.

Published
2008
Pages
11
Journal
Lecture Notes in Computer Science, ISSN 0302-9743
Proceedings
Proceedings of International Conference on Computer Vision and Graphics 2008
Series
Lecture Notes in Computer Science
Conference
International Conference on Computer Vision and Graphics 2008 , Varšava, PL
Publisher
Springer Verlag
Place
Heidelberg, DE
BibTeX 
@INPROCEEDINGS{FITPUB8853,
   author = "Roman Jur\'{a}nek",
   title = "Detection of Dogs in Video Using Statistical Classifiers",
   pages = 11,
   booktitle = "Proceedings of International Conference on Computer Vision and Graphics 2008",
   series = "Lecture Notes in Computer Science",
   journal = "Lecture Notes in Computer Science",
   year = 2008,
   location = "Heidelberg, DE",
   publisher = "Springer Verlag",
   ISSN = "0302-9743",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/8853"
}
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