Result Details
Detection of Dogs in Video Using Statistical Classifiers
JURÁNEK, R. Detection of Dogs in Video Using Statistical Classifiers. Proceedings of International Conference on Computer Vision and Graphics 2008. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Heidelberg: Springer Verlag, 2008. p. 1-11. ISSN: 0302-9743.
Type
conference paper
Language
English
Authors
Juránek Roman, Ing., Ph.D., DCGM (FIT)
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 forsurveillance purposes. The author of this paper thus explored the possibility that the AdaBoost based classifiers could be used for this task.
Keywords
Statistical classifier, WaldBoost, AdaBoost, Dog detection
URL
Published
2008
Pages
1–11
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
Publisher
Springer Verlag
Place
Heidelberg
BibTeX
@inproceedings{BUT30730,
author="Roman {Juránek}",
title="Detection of Dogs in Video Using Statistical Classifiers",
booktitle="Proceedings of International Conference on Computer Vision and Graphics 2008",
year="2008",
series="Lecture Notes in Computer Science",
journal="Lecture Notes in Computer Science",
pages="1--11",
publisher="Springer Verlag",
address="Heidelberg",
issn="0302-9743",
url="http://www.fit.vutbr.cz/research/groups/graph/publi/2008/2008-Juranek-ICCVG-DogDetection.pdf"
}
Projects
Centre of computer graphics, MŠMT, Centra základního výzkumu, LC06008, start: 2006-03-01, end: 2011-12-31, completed
Research groups
Computer Graphics Research Group (RG GRAPH)
Departments