Detail publikace

Local Descriptors Based Face Recognition Engine for Video Surveillance Systems

PŘINOSIL, J.

Originální název

Local Descriptors Based Face Recognition Engine for Video Surveillance Systems

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper deals with the local descriptors based face recognition engine for video surveillance systems, where LBP and POEM face descriptors are involved. The FERET database is used for optimal parameters setting with regard to ratio of recognition rate and computational time. The multiplelocal- thresholds mechanism is proposed for face template generation and classification task. The engine is verified by using PubFig database and own database of images from a real surveillance system. The achieved results are suitable to be used in video surveillance system operating in real-time.

Klíčová slova

Face recognition, LBP extraction, POEM extraction, multiple-local-thresholds

Autoři

PŘINOSIL, J.

Rok RIV

2013

Vydáno

2. 7. 2013

ISBN

978-1-4799-0403-7

Kniha

Proceedings of the 36th International Conference on Telecommunications and Signal Processing (TSP 2013)

Strany od

862

Strany do

866

Strany počet

5

BibTex

@inproceedings{BUT100876,
  author="Jiří {Přinosil}",
  title="Local Descriptors Based Face Recognition Engine for Video Surveillance Systems",
  booktitle="Proceedings of the 36th International Conference on Telecommunications and Signal Processing (TSP 2013)",
  year="2013",
  pages="862--866",
  isbn="978-1-4799-0403-7"
}