skip to main content
10.1145/1520340.1520594acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
extended-abstract

Ptz control with head tracking for video chat

Published:04 April 2009Publication History

ABSTRACT

This paper describes a user interface for video chat that is capable of panning, tilting, and zooming (PTZ) operation using head tracking. The approach is to map a captured 3D position from head tracker to PTZ parameters of a remote camera so that a user can intuitively change the view just as people change their sight by moving their head. The preliminary user study gave encouraging results and clarified the point for further improvement.

Skip Supplemental Material Section

Supplemental Material

p3919.wmv

wmv

11.2 MB

References

  1. Kjeldsen, R. and Hartman, J. Design issues for vision-based computer interaction systems. In Proc. PUI 2001, ACM Press (2001), 1--8. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Jaimes, A. and Sebe, N. Multimodal human-computer interaction: A survey. Computer Vision and Image Understanding. Elsevier Science Inc. (2007), 116--134. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Wang, S., Xiong, X., Xu, Y., Wang, C., Zhang, W., Dai, X., and Zhang, D. Face-tracking as an augmented input in video games: enhancing presence, role-playing and control. In Proc. CHI 2006, ACM Press (2006), 1097--1106. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Kitajima, K., Sato, Y., and Koike, H. Vision-Based Face Tracking System for Window Interface: Prototype Application and Empirical Studies. Ext. Abstracts CHI 2001, ACM Press (2001), 359--360. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Ashdown, M., Oka, K., and Sato, Y. Combining Head Tracking and Mouse Input for a GUI on Multiple Monitors. Ext. Abstracts CHI 2005, ACM Press (2005), 1188 -- 1191. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Reynolds, C., Cassinelli, A., and Ishikawa, M. Meta-perception: reflexes and bodies as part of the interface. In Proc. CHI 2006, ACM Press (2008), 3669--3674. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Strubbe, H. and Lee, M.S. UI for a Videoconference Camera. Ext. Abstracts CHI 2001, ACM Press (2001), 333--334. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Liao, C., Liu, Q., Kimber, D., Chiu, P., Foote, J., and Wilcox, L. Shared interactive video for teleconferencing. In Proc. MULTIMEDIA 2003, ACM Press (2003), 546--554. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Viola, P. and Jones, M. Rapid object detection using a boosted cascade of simple features. In Proc. CVPR 2001, I-511-I-518.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Ptz control with head tracking for video chat

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems
        April 2009
        2470 pages
        ISBN:9781605582474
        DOI:10.1145/1520340

        Copyright © 2009 Copyright is held by the owner/author(s)

        Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 4 April 2009

        Check for updates

        Qualifiers

        • extended-abstract

        Acceptance Rates

        CHI EA '09 Paper Acceptance Rate385of1,130submissions,34%Overall Acceptance Rate6,164of23,696submissions,26%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader