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A user-centric control and navigation for augmented virtual environment surveillance application

Published: 26 November 2012 Publication History

Abstract

Research on surveillance systems' capability in mapping imagery data into geometric model, creation of coherent data visualization and adaptability on different hardware and software platforms has been quite intensive in the past few years. Conventional surveillance solutions are struggling to cope with drastic increase of imaging sensors deployed in larger scale environment, causing severe operators' cognitive overload and longer response time to events triggered. Currently, there is lack of study on the human subject and effectiveness of large scale surveillance network. In the present study, a new user-centric ergonomic surveillance system with location identification consists of Context Awareness Environment (CAE) and Motion based Control Navigator (MCN) is proposed to give concise and consistent interactive representation with all the imagery sensor inputs in a human familiar structure model with actual scene information augmented as well as realistic navigation experience using body gestures respectively. Both CAE and MCN components are evaluated by experimental results that measure performance as a function of identifying event happened location and navigating in augmented virtual environment system, respectively.

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IVCNZ '12: Proceedings of the 27th Conference on Image and Vision Computing New Zealand
November 2012
547 pages
ISBN:9781450314732
DOI:10.1145/2425836
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

  • HRS: Hoare Research Software Ltd.
  • Google Inc.
  • Dept. of Information Science, Univ.of Otago: Department of Information Science, University of Otago, Dunedin, New Zealand

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 November 2012

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Author Tags

  1. camera displacement
  2. gesture recognition
  3. motion based navigation
  4. video surveillance

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IVCNZ '12
Sponsor:
  • HRS
  • Dept. of Information Science, Univ.of Otago
IVCNZ '12: Image and Vision Computing New Zealand
November 26 - 28, 2012
Dunedin, New Zealand

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Overall Acceptance Rate 55 of 74 submissions, 74%

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