Enhanced motion robustness from ToF-based depth sensing cameras

Wataru Yamada, Hiroyuki Manabe, Hiroshi Inamura

研究成果: Conference contribution

抄録

Depth sensing cameras that can acquire RGB and depth information are being widely used. They can expand and enhance various camera-based applications and are cheap but strong tools for computer human interaction. RGB and depth sensing cameras have quite different key parameters, such as exposure time. We focus on the differences in their motion robustness; the RGB camera has relatively long exposure times while those of ToF (Time-of-flight) based depth sensing camera are relatively short. An experiment on visual tag reading, one typical application, shows that depth sensing cameras can robustly decode moving tags. The proposed technique will yield robust tag reading, indoor localization, and color image stabilization while walking and jogging or even glancing momentarily without requiring any special additional devices.

元の言語English
ホスト出版物のタイトルUIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology
出版者Association for Computing Machinery, Inc
ページ51-52
ページ数2
ISBN(電子版)9781450337809
DOI
出版物ステータスPublished - 2015 11 6
外部発表Yes
イベント28th Annual ACM Symposium on User Interface Software and Technology, UIST 2015 - Charlotte, United States
継続期間: 2015 11 82015 11 11

出版物シリーズ

名前UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology

Conference

Conference28th Annual ACM Symposium on User Interface Software and Technology, UIST 2015
United States
Charlotte
期間15/11/815/11/11

Fingerprint

Cameras
Human computer interaction
Stabilization
Color
Experiments

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

これを引用

Yamada, W., Manabe, H., & Inamura, H. (2015). Enhanced motion robustness from ToF-based depth sensing cameras. : UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology (pp. 51-52). (UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology). Association for Computing Machinery, Inc. https://doi.org/10.1145/2815585.2817807

Enhanced motion robustness from ToF-based depth sensing cameras. / Yamada, Wataru; Manabe, Hiroyuki; Inamura, Hiroshi.

UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2015. p. 51-52 (UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology).

研究成果: Conference contribution

Yamada, W, Manabe, H & Inamura, H 2015, Enhanced motion robustness from ToF-based depth sensing cameras. : UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology. UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology, Association for Computing Machinery, Inc, pp. 51-52, 28th Annual ACM Symposium on User Interface Software and Technology, UIST 2015, Charlotte, United States, 15/11/8. https://doi.org/10.1145/2815585.2817807
Yamada W, Manabe H, Inamura H. Enhanced motion robustness from ToF-based depth sensing cameras. : UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc. 2015. p. 51-52. (UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology). https://doi.org/10.1145/2815585.2817807
Yamada, Wataru ; Manabe, Hiroyuki ; Inamura, Hiroshi. / Enhanced motion robustness from ToF-based depth sensing cameras. UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2015. pp. 51-52 (UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology).
@inproceedings{c684911a43714cddac0ac2045b42f756,
title = "Enhanced motion robustness from ToF-based depth sensing cameras",
abstract = "Depth sensing cameras that can acquire RGB and depth information are being widely used. They can expand and enhance various camera-based applications and are cheap but strong tools for computer human interaction. RGB and depth sensing cameras have quite different key parameters, such as exposure time. We focus on the differences in their motion robustness; the RGB camera has relatively long exposure times while those of ToF (Time-of-flight) based depth sensing camera are relatively short. An experiment on visual tag reading, one typical application, shows that depth sensing cameras can robustly decode moving tags. The proposed technique will yield robust tag reading, indoor localization, and color image stabilization while walking and jogging or even glancing momentarily without requiring any special additional devices.",
keywords = "Depth sensing camera, Exposure time, Visual tag",
author = "Wataru Yamada and Hiroyuki Manabe and Hiroshi Inamura",
year = "2015",
month = "11",
day = "6",
doi = "10.1145/2815585.2817807",
language = "English",
series = "UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology",
publisher = "Association for Computing Machinery, Inc",
pages = "51--52",
booktitle = "UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology",

}

TY - GEN

T1 - Enhanced motion robustness from ToF-based depth sensing cameras

AU - Yamada, Wataru

AU - Manabe, Hiroyuki

AU - Inamura, Hiroshi

PY - 2015/11/6

Y1 - 2015/11/6

N2 - Depth sensing cameras that can acquire RGB and depth information are being widely used. They can expand and enhance various camera-based applications and are cheap but strong tools for computer human interaction. RGB and depth sensing cameras have quite different key parameters, such as exposure time. We focus on the differences in their motion robustness; the RGB camera has relatively long exposure times while those of ToF (Time-of-flight) based depth sensing camera are relatively short. An experiment on visual tag reading, one typical application, shows that depth sensing cameras can robustly decode moving tags. The proposed technique will yield robust tag reading, indoor localization, and color image stabilization while walking and jogging or even glancing momentarily without requiring any special additional devices.

AB - Depth sensing cameras that can acquire RGB and depth information are being widely used. They can expand and enhance various camera-based applications and are cheap but strong tools for computer human interaction. RGB and depth sensing cameras have quite different key parameters, such as exposure time. We focus on the differences in their motion robustness; the RGB camera has relatively long exposure times while those of ToF (Time-of-flight) based depth sensing camera are relatively short. An experiment on visual tag reading, one typical application, shows that depth sensing cameras can robustly decode moving tags. The proposed technique will yield robust tag reading, indoor localization, and color image stabilization while walking and jogging or even glancing momentarily without requiring any special additional devices.

KW - Depth sensing camera

KW - Exposure time

KW - Visual tag

UR - http://www.scopus.com/inward/record.url?scp=84962910973&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84962910973&partnerID=8YFLogxK

U2 - 10.1145/2815585.2817807

DO - 10.1145/2815585.2817807

M3 - Conference contribution

AN - SCOPUS:84962910973

T3 - UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology

SP - 51

EP - 52

BT - UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology

PB - Association for Computing Machinery, Inc

ER -