Head pose tracking system using a mobile device

Koichi Takahashi, Yasue Mitsukura

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

1 Citation (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 publicationProceedings - IEEE International Workshop on Robot and Human Interactive Communication
Pages461-466
Number of pages6
DOIs
Publication statusPublished - 2013
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

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

Fingerprint

Mobile devices
Sampling
Computer vision
Costs
Hardware

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

Cite this

Takahashi, K., & Mitsukura, Y. (2013). Head pose tracking system using a mobile device. In Proceedings - IEEE International Workshop on Robot and Human Interactive Communication (pp. 461-466). [6628547] https://doi.org/10.1109/ROMAN.2013.6628547

Head pose tracking system using a mobile device. / Takahashi, Koichi; Mitsukura, Yasue.

Proceedings - IEEE International Workshop on Robot and Human Interactive Communication. 2013. p. 461-466 6628547.

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

Takahashi, K & Mitsukura, Y 2013, Head pose tracking system using a mobile device. in Proceedings - IEEE International Workshop on Robot and Human Interactive Communication., 6628547, pp. 461-466, 22nd 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, 13/8/26. https://doi.org/10.1109/ROMAN.2013.6628547
Takahashi K, Mitsukura Y. Head pose tracking system using a mobile device. In Proceedings - IEEE International Workshop on Robot and Human Interactive Communication. 2013. p. 461-466. 6628547 https://doi.org/10.1109/ROMAN.2013.6628547
Takahashi, Koichi ; Mitsukura, Yasue. / Head pose tracking system using a mobile device. Proceedings - IEEE International Workshop on Robot and Human Interactive Communication. 2013. pp. 461-466
@inproceedings{554cb788af9b48d9aee5e90cfddd00ff,
title = "Head pose tracking system using a mobile device",
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.",
author = "Koichi Takahashi and Yasue Mitsukura",
year = "2013",
doi = "10.1109/ROMAN.2013.6628547",
language = "English",
isbn = "9781479905072",
pages = "461--466",
booktitle = "Proceedings - IEEE International Workshop on Robot and Human Interactive Communication",

}

TY - GEN

T1 - Head pose tracking system using a mobile device

AU - Takahashi, Koichi

AU - Mitsukura, Yasue

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84889588213&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84889588213&partnerID=8YFLogxK

U2 - 10.1109/ROMAN.2013.6628547

DO - 10.1109/ROMAN.2013.6628547

M3 - Conference contribution

AN - SCOPUS:84889588213

SN - 9781479905072

SP - 461

EP - 466

BT - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

ER -