High-speed human detection in top-view images by feature scaling for informed filters

Ryusuke Miyamoto, Shuhei Aoki, Takuro Oki

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

1 Citation (Scopus)

Abstract

To monitor vital signs in real-time during exercise, a novel routing scheme called 'image assisted routing' is proposed, for which high-speed and accurate human detection executed on embedded systems is indispensable. We propose feature scaling for informed filters with the aim of speeding up of human detection without degrading accuracy. Experimental results obtained by using a CG-based dataset show that the computation speed becomes about 2.77 times faster with the proposed feature scaling.

Original languageEnglish
Title of host publicationIEEE 4th International Conference on Soft Computing and Machine Intelligence, ISCMI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages114-118
Number of pages5
ISBN (Electronic)9781538613146
DOIs
Publication statusPublished - 1 Feb 2018
Event4th IEEE International Conference on Soft Computing and Machine Intelligence, ISCMI 2017 - Mauritius, Mauritius
Duration: 23 Nov 201724 Nov 2017

Publication series

NameIEEE 4th International Conference on Soft Computing and Machine Intelligence, ISCMI 2017
Volume2018-January

Conference

Conference4th IEEE International Conference on Soft Computing and Machine Intelligence, ISCMI 2017
CountryMauritius
CityMauritius
Period23/11/1724/11/17

Keywords

  • Human detection
  • feature scaling
  • informed filters

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    Miyamoto, R., Aoki, S., & Oki, T. (2018). High-speed human detection in top-view images by feature scaling for informed filters. In IEEE 4th International Conference on Soft Computing and Machine Intelligence, ISCMI 2017 (pp. 114-118). (IEEE 4th International Conference on Soft Computing and Machine Intelligence, ISCMI 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCMI.2017.8279609