Head pose tracking system using a mobile device

Koichi Takahashi, Yasue Mitsukura

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

2 Citations (Scopus)

Abstract

In this paper, we propose a new head pose tracking method for mobile devices. Recently, head pose tracking technologies are expected to be incorporated into various situations such as robot vision. Especially, we focus on the applications using a mobile system. However, head pose estimation methods usually require a high performance hardware although the mobile systems have limited computational resource. Therefore, we propose a low cost computing algorithm of head pose tracking for the purpose of developing mobile system applications. The proposed method has two stages: (1) fast rough tracking and (2) iterative sampling stage. The proposed method has a merit of low computing cost, and is able to be applied to mobile systems. In order to confirm the effectiveness of the proposed method, we show the comparison results of two types of iterative sampling algorithms. The experimental results demonstrate that our method can be incorporated into actual mobile system applications.

Original languageEnglish
Title of host publication22nd IEEE International Symposium on Robot and Human Interactive Communication
Subtitle of host publication"Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013
Pages461-466
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 11
Event22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013 - Gyeongju, Korea, Republic of
Duration: 2013 Aug 262013 Aug 29

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013
CountryKorea, Republic of
CityGyeongju
Period13/8/2613/8/29

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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  • Cite this

    Takahashi, K., & Mitsukura, Y. (2013). Head pose tracking system using a mobile device. In 22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013 (pp. 461-466). [6628547] (Proceedings - IEEE International Workshop on Robot and Human Interactive Communication). https://doi.org/10.1109/ROMAN.2013.6628547