Publication detail

Local Descriptors Based Face Recognition Engine for Video Surveillance Systems

PŘINOSIL, J.

Original Title

Local Descriptors Based Face Recognition Engine for Video Surveillance Systems

English Title

Local Descriptors Based Face Recognition Engine for Video Surveillance Systems

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

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

RIV year

2013

Released

02.07.2013

ISBN

978-1-4799-0403-7

Book

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

Pages from

862

Pages to

866

Pages count

5

Documents

BibTex


@inproceedings{BUT100876,
  author="Jiří {Přinosil}",
  title="Local Descriptors Based Face Recognition Engine for Video Surveillance Systems",
  annote="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.",
  booktitle="Proceedings of the 36th International Conference on Telecommunications and Signal Processing (TSP 2013)",
  chapter="100876",
  howpublished="print",
  year="2013",
  month="july",
  pages="862--866",
  type="conference paper"
}