Detail výsledku

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.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Juránek Roman, Ing., Ph.D., UPGM (FIT)
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 forsurveillance 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

URL
Rok
2008
Strany
1–11
Časopis
Lecture Notes in Computer Science, ISSN 0302-9743
Sborník
Proceedings of International Conference on Computer Vision and Graphics 2008
Řada
Lecture Notes in Computer Science
Konference
International Conference on Computer Vision and Graphics 2008
Vydavatel
Springer Verlag
Místo
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"
}
Projekty
Centrum počítačové grafiky, MŠMT, Centra základního výzkumu, LC06008, zahájení: 2006-03-01, ukončení: 2011-12-31, ukončen
Výzkumné skupiny
Výzkumná skupina počítačové grafiky (VZ GRAPH)
Pracoviště
Ústav počítačové grafiky a multimédií (UPGM)
Nahoru