Normalized channel features for accurate pedestrian detection

Ryusuke Miyamoto, Jaehoon Yu, Takao Onoye

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Pedestrian detection is one of the most challenging problems in the field of the computer vision. To improve the detection accuracy several schemes have been proposed by many researchers but sufficient accuracy has not been achieved yet. One of the most accurate schemes is integral channel features proposed by Dollár et al., whose miss rate is about 20% at 10-1 false positive per image for the INRIA dataset. In this paper, to improve the detection accuracy of the integral channel features, we propose a novel scheme that normalizes extracted features according to characteristics of them. The Experimental result using the INRIA dataset shows that the miss rate by the proposed scheme becomes about 15% at 10-1 false positive per image that is higher than other leading edge schemes.

Original languageEnglish
Title of host publicationISCCSP 2014 - 2014 6th International Symposium on Communications, Control and Signal Processing, Proceedings
PublisherIEEE Computer Society
Pages582-585
Number of pages4
ISBN (Print)9781479928903
DOIs
Publication statusPublished - 1 Jan 2014
Event6th International Symposium on Communications, Control and Signal Processing, ISCCSP 2014 - Athens, Greece
Duration: 21 May 201423 May 2014

Publication series

NameISCCSP 2014 - 2014 6th International Symposium on Communications, Control and Signal Processing, Proceedings

Conference

Conference6th International Symposium on Communications, Control and Signal Processing, ISCCSP 2014
CountryGreece
CityAthens
Period21/05/1423/05/14

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Keywords

  • Pedestrian detection
  • accuracy improvement
  • integral channel features
  • scale invariant feature

Cite this

Miyamoto, R., Yu, J., & Onoye, T. (2014). Normalized channel features for accurate pedestrian detection. In ISCCSP 2014 - 2014 6th International Symposium on Communications, Control and Signal Processing, Proceedings (pp. 582-585). [6877942] (ISCCSP 2014 - 2014 6th International Symposium on Communications, Control and Signal Processing, Proceedings). IEEE Computer Society. https://doi.org/10.1109/ISCCSP.2014.6877942