Detail publikace

Detection of Dogs in Video Using Statistical Classifiers

JURÁNEK, R.

Originální název

Detection of Dogs in Video Using Statistical Classifiers

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Statistical classifier, WaldBoost, AdaBoost, Dog detection

Autoři

JURÁNEK, R.

Rok RIV

2008

Vydáno

12. 11. 2008

Nakladatel

Springer Verlag

Místo

Heidelberg

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Stát

Spolková republika Německo

Strany od

1

Strany do

11

Strany počet

11

URL

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

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"
}