Head pose tracking based on optimizing normalized cross-correlation

Koichi Takahashi, Yasue Mitsukura

Research output: Contribution to conferencePaper

Abstract

This paper proposes an efficient algorithm for head pose tracking. The most preexisting head pose tracking method usually consists of high cost computing algorithm. Therefore, it is difficult to implement head pose tracking in a mobile system with low performance hardware such as smartphone. In this paper, we propose a low cost computing algorithm for fast head pose tracking method. The proposed method consists of two stages: rough tracking and precise tracking stages. Especially, this paper discusses the efficient design of precise tracking stage. According to the experimental results, we demonstrate that our method increases the tracking performance using the proposed coarse-to-fine random sampling algorithm.

Original languageEnglish
Pages2513-2517
Number of pages5
Publication statusPublished - 2013 Jan 1
Event2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, Japan
Duration: 2013 Sep 142013 Sep 17

Other

Other2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013
CountryJapan
CityNagoya
Period13/9/1413/9/17

Keywords

  • Coarse-to-fine random sampling
  • Head pose tracking
  • Image processing
  • Measurement

ASJC Scopus subject areas

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

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  • Cite this

    Takahashi, K., & Mitsukura, Y. (2013). Head pose tracking based on optimizing normalized cross-correlation. 2513-2517. Paper presented at 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013, Nagoya, Japan.