Detail publikace

Local Rank Patterns - Novel Features for Rapid Object Detection

HRADIŠ, M. HEROUT, A. ZEMČÍK, P.

Originální název

Local Rank Patterns - Novel Features for Rapid Object Detection

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

This paper presents Local Rank Patterns (LRP) - novel features for rapid object detection in images which are based on existing features Local Rank Differences (LRD). The performance of the novel features is thoroughly tested on frontal face detection task and it is compared to the performance of the LRD and the traditionally used Haar-like features. The results show that the LRP surpass the LRD and the Haar-like features in the precision of detection and also in the average number of features needed for classification. Considering recent successful and efficient implementations of LRD on CPU, GPU and FPGA, the results suggest that LRP are good choice for object detection and that they could replace the Haar-like features in some applications in the future.

Klíčová slova

WadlBoost, Local Rank Differences, Local Rank Patterns, object detection

Autoři

HRADIŠ, M.; HEROUT, A.; ZEMČÍK, P.

Rok RIV

2008

Vydáno

12. 11. 2008

Nakladatel

Springer Verlag

Místo

Heidelberg

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Číslo

12

Stát

Spolková republika Německo

Strany od

1

Strany do

12

Strany počet

12

URL

https://www.fit.vut.cz/research/publication/8838/

BibTex

@inproceedings{BUT33447,
  author="Michal {Hradiš} and Adam {Herout} and Pavel {Zemčík}",
  title="Local Rank Patterns - Novel Features for Rapid Object Detection",
  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",
  number="12",
  pages="1--12",
  publisher="Springer Verlag",
  address="Heidelberg",
  issn="0302-9743",
  url="https://www.fit.vut.cz/research/publication/8838/"
}