Hybrid visual tracking and model-based alignment using 6-DOF sensor

Taiki Fuji, Yasue Mitsukura

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

Abstract

In this paper, we propose a hybrid visual tracking and model-based alignment using a six degree of freedom (6-DOF) sensor for augmented reality (AR). We use a head mounted display (HMD) with a 6-DOF sensor as user's vision, and to acquire the corresponding data for being able to estimate the user's head pose and movement. We combine use of the 6-DOF sensor and image processing. By using amount of the acceleration change and angular data obtained by the sensor, the target position and pose are estimated. Specifically, we track the alignment target using particle filter whose particles are sampled on the basis of the acquired change data from the sensor. Moreover, the target is tracked with a simplified plane model. In order to show the effectiveness of the proposed system, we conduct the experiment of tracking and model-based alignment when we applied the system to real space.

Original languageEnglish
Title of host publication2012 Proceedings of SICE Annual Conference, SICE 2012
PublisherSociety of Instrument and Control Engineers (SICE)
Pages2052-2056
Number of pages5
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

  • 6-DOF sensor
  • Alignment
  • Tracking

ASJC Scopus subject areas

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

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