Accuracy improvement in human detection using HOG features on train-mounted camera

Shintaro Saika, Saki Takahashi, Masaru Takeuchi, Jiro Katto

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

4 Citations (Scopus)

Abstract

Nowadays, researches on accident prevention using train-mounted cameras had been progressing. Our proposed method considers temporal continuity between frames by using motion vectors in addition to conventional thresholding on similarity values obtained by a human detection method using HOG features. Experiments show the effectiveness of our method as compared with a previous method using only HOG features.

Original languageEnglish
Title of host publication2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509023332
DOIs
Publication statusPublished - 2016 Dec 27
Event5th IEEE Global Conference on Consumer Electronics, GCCE 2016 - Kyoto, Japan
Duration: 2016 Oct 112016 Oct 14

Other

Other5th IEEE Global Conference on Consumer Electronics, GCCE 2016
CountryJapan
CityKyoto
Period16/10/1116/10/14

Keywords

  • HOG features
  • Human detection
  • Optical flow

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Hardware and Architecture
  • Instrumentation

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  • Cite this

    Saika, S., Takahashi, S., Takeuchi, M., & Katto, J. (2016). Accuracy improvement in human detection using HOG features on train-mounted camera. In 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016 [7800373] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2016.7800373