Localization and tracking of an accelerometer in a camera view based on feature point motion analysis

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

4 Citations (Scopus)

Abstract

This paper describes a method of detecting and tracking of a specific accelerometer in a camera view. The proposed method extracts and tracks local feature points from an image sequence and assign a score, which becomes larger when it is more likely to be associated with the accelerometer motion, to each feature point. By considering these scores as random samples from he probability density function of the existence of the accelerometer over the image, we estimate its position. Experimental results show the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2012 Proceedings of SICE Annual Conference, SICE 2012
PublisherSociety of Instrument and Control Engineers (SICE)
Pages293-294
Number of pages2
ISBN (Print)9781467322591
Publication statusPublished - 2012 Jan 1
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: 2012 Aug 202012 Aug 23

Publication series

NameProceedings of the SICE Annual Conference

Other

Other2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
CountryJapan
CityAkita
Period12/8/2012/8/23

Keywords

  • kernel density estimation
  • normalized cross correlation
  • sensor fusion
  • sequential Bayesian estimation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Maki, Y., Kagami, S., & Hashimoto, K. (2012). Localization and tracking of an accelerometer in a camera view based on feature point motion analysis. In 2012 Proceedings of SICE Annual Conference, SICE 2012 (pp. 293-294). [6318450] (Proceedings of the SICE Annual Conference). Society of Instrument and Control Engineers (SICE).