IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt4q09629b.html
   My bibliography  Save this paper

Contextual Activity Visualization from Long-Term Video Observations

Author

Listed:
  • Morris, Brendan
  • Trivedi, Mohan Manubhai

Abstract

In this article, we present the Contextual Activity-Notification Visualization Analysis System (Canvas), which is used to develop advanced monitoring techniques, integrate cameras installed around the University of California, San Diego (UCSD) campus and centralize information. Our work focuses on building an upgradeable framework for simple user interaction through an accessible visualization. Rather than present a user with raw sensor data from the physical world, we introduce visualization layers to abstract the internals of monitoring algorithms and provide a clean consumable computational output. Canvas provides a flexible backbone that lets us improve vision algorithms while providing a seamless visualization interface. This ultimately improves the effectiveness of the monitoring by focusing attention and presenting only the most relevant information. The visualization is built on Web technology to make the information available anywhere, anytime.

Suggested Citation

  • Morris, Brendan & Trivedi, Mohan Manubhai, 2010. "Contextual Activity Visualization from Long-Term Video Observations," University of California Transportation Center, Working Papers qt4q09629b, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt4q09629b
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/4q09629b.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Social and Behavioral Sciences;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:uctcwp:qt4q09629b. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.