Result Details

Accelerated Object Detection

HAVEL, J. Accelerated Object Detection. Proceedings of the 15th Conference Student EEICT 2009. Volume 4. Brno: Faculty of Electrical Engineering and Communication BUT, 2009. p. 456-460. ISBN: 978-80-214-3870-5.

Type

conference paper

Language

English

Authors

Havel Jiří, Ing., Ph.D., DCGM (FIT)

Abstract

This paper presents the improved version of a rapid object detector. This detector uses Waldboost classifier with Local Rank Differences features for face detection. Because of it's computational complexity, original detector was parallelized to take advantage of modern multicore processors. Further speedup was achieved by fixed step scaling with heavy use of SSE instruction set and template metaprogramming.

Keywords

object detection, classification, adaboost, waldboost, local rank differences, parallelization, OpenMP, SSE, template metaprogramming

Published

2009

Pages

456–460

Proceedings

Proceedings of the 15th Conference Student EEICT 2009

Series

Volume 4

Conference

Student EEICT 2009

ISBN

978-80-214-3870-5

Publisher

Faculty of Electrical Engineering and Communication BUT

Place

Brno

BibTeX

@inproceedings{BUT30206,
  author="Jiří {Havel}",
  title="Accelerated Object Detection",
  booktitle="Proceedings of the 15th Conference Student EEICT 2009",
  year="2009",
  series="Volume 4",
  pages="456--460",
  publisher="Faculty of Electrical Engineering and Communication BUT",
  address="Brno",
  isbn="978-80-214-3870-5"
}

Projects

Centre of computer graphics, MŠMT, Centra základního výzkumu, LC06008, start: 2006-03-01, end: 2011-12-31, completed

Research groups

Computer Graphics Research Group (RG GRAPH)

Departments

Faculty of Information Technology (FIT)