skip to main content
10.1145/2459236.2459270acmotherconferencesArticle/Chapter ViewAbstractPublication PagesahConference Proceedingsconference-collections
research-article

Recovering 3-D gaze scan path and scene structure from inside-out camera

Published: 07 March 2013 Publication History

Abstract

First-Person Vision (FPV) is a wearable sensor that takes images from a user's visual field and interprets them, with available information about the user's head motion and gaze, through eye tracking [1]. Measuring the 3-D gaze trajectory of a user moving dynamically in 3-D space is interesting for understanding a user's intention and behavior. In this paper, we present a system for recovering 3-D scan path and scene structure in 3-D space on the basis of ego-motion computed from an inside-out camera. Experimental results show that the 3-D scan paths of a user moving in complex dynamic environments were recovered.

References

[1]
T. Kanade and M. Hebert. First-person vision. Proceedings of the IEEE, 100(8):2442--2453, 2012.
[2]
D. Noton. Eye movements and visual perception. Scientific American, 6:34--43, 1971.
[3]
T. Ono. What can be learned from eye movement?: Understanding higher cognitive processes from eye movement analysis. Cognitive Studies, 9(4):565--579, 2002.
[4]
Arrington Research, inc. EyetrackerViewPoint.
[5]
ISCAN. AA-ETL-500B.
[6]
NAC Image Technology Inc. eyemark recorderEMR-9.
[7]
Tobii. Tobii XL.
[8]
S. Shimizu and H. Fujiyoshi. Acquisition of 3d gaze information from eyeball movements using inside-out camera. In Proceedings of the 2nd Augmented Human International Conference, page 6, 2011.
[9]
R. Y. Tsai. A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. IEEE Journal of Robotics and Automation, 3(4):323--344, 1922.
[10]
Z. Zhang. A flexible new technique for camera calibration. PAMI, 22(11):1330--1334, 2000.
[11]
H. Badino and T. Kanade. A head-wearable short-baseline stereo system for the simultaneous estimation of structure and motion. In IAPR Conference on Machine Vision Applications (MVA), 2011.
[12]
J. Shi and C. Tomasi. Good features to track. In Computer Vision and Pattern Recognition, pages 593--600, 1994.
[13]
Z. Zhang and O. Faugeras. 3d dynamic scene analysis: a stereo based approach. 1992.
[14]
T. Ohno, T. Mukawa, and A. Yoshikawa. Freegaze: a gaze tracking system for everyday gaze interaction. In the symposium on ETRA 2002: eye tracking research & applications symposium, pages 125--132, 2002.
[15]
S. Tanaka, H. Hikita, T. Kasai, and T. Takeda. Eye-gaze detection based on the position of the cornea curvature center using two near-infrared light sources. IEICE technical report. ME and bio cybernetics, 108(479):177--180, 2009.
[16]
Y. Sakashita, H. Fujiyoshi, Y. Hirata, and N. Fukaya. Real-time measurement system of cyclodction movement based on fast ellipse detection. IEEJ Transactions on Electrical and Electronic Engineering, 127-C:591--598, 2007.
[17]
Y. Kanatani, K. Sugaya and H. Niitsuma. Triangulation from two views revisited: Hartley-sturm vs. optimal correction. Proceedings of the 19th British Machine Vision Conference (BMVC'08), 8:173--182, 2008.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
AH '13: Proceedings of the 4th Augmented Human International Conference
March 2013
254 pages
ISBN:9781450319041
DOI:10.1145/2459236
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • SimTech: SimTech
  • Universität Stuttgart: Universität Stuttgart

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2013

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. 3-D gaze scan path
  2. ego-motion
  3. inside-out camera

Qualifiers

  • Research-article

Conference

AH'13
Sponsor:
  • SimTech
  • Universität Stuttgart
AH'13: 4th Augmented Human International Conference
March 7 - 8, 2013
Stuttgart, Germany

Acceptance Rates

AH '13 Paper Acceptance Rate 49 of 69 submissions, 71%;
Overall Acceptance Rate 121 of 306 submissions, 40%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 112
    Total Downloads
  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 13 Jan 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media