Publication 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.

Czech title

Detekce psů ve videu pomocí statistických klasifikátorů

Type

conference paper

Language

English

Authors

Juránek Roman, Ing., Ph.D. (DCGM)

URL

http://www.fit.vutbr.cz/research/groups/graph/publi/2008/2008-Juranek-ICCVG-DogDetection.pdf

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

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

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"
}