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Real-time surveillance video display with salience

Published: 11 November 2005 Publication History

Abstract

In this paper, we aim at providing a means for efficient display of surveillance video. In video surveillance, usually, there are certain regions of interest (ROIs), such as entrance or exit, and moving objects or persons, which should be paid more attention. By tracking and locally zooming the ROI, the proposed method adds salience on it to help surveillant to locate such important region effectively. Here, salience means highlighting special region locally. Given an input video signal, the ROI is detected first. The original video frame is mapped as a texture on a deformed mesh to produce the zoom effect. The position and shape of the ROI determine the mesh deformation. By experiment, we show that the proposed method is effective and efficient.

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Cited By

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  • (2012)Dynamic Range Enhance of Visual Sensor Circuits and Application for Multi-object Motion DetectionProceedings of the 2012 Fifth International Conference on Intelligent Computation Technology and Automation10.1109/ICICTA.2012.44(151-154)Online publication date: 12-Jan-2012
  • (2009)Minimizing Video Data Using Looping Background Detection TechniqueProceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing10.1007/978-3-642-10467-1_95(999-1004)Online publication date: 15-Dec-2009
  • (2007)DOTSProceedings of the 15th ACM international conference on Multimedia10.1145/1291233.1291332(423-432)Online publication date: 29-Sep-2007
  • Show More Cited By

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cover image ACM Conferences
VSSN '05: Proceedings of the third ACM international workshop on Video surveillance & sensor networks
November 2005
168 pages
ISBN:1595932429
DOI:10.1145/1099396
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]

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Publication History

Published: 11 November 2005

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Author Tags

  1. image warping
  2. texture mapping
  3. tracking
  4. video surveillance

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MM&Sec '05
MM&Sec '05: Multimedia and Security Workshop 2005
November 11, 2005
Hilton, Singapore

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Cited By

View all
  • (2012)Dynamic Range Enhance of Visual Sensor Circuits and Application for Multi-object Motion DetectionProceedings of the 2012 Fifth International Conference on Intelligent Computation Technology and Automation10.1109/ICICTA.2012.44(151-154)Online publication date: 12-Jan-2012
  • (2009)Minimizing Video Data Using Looping Background Detection TechniqueProceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing10.1007/978-3-642-10467-1_95(999-1004)Online publication date: 15-Dec-2009
  • (2007)DOTSProceedings of the 15th ACM international conference on Multimedia10.1145/1291233.1291332(423-432)Online publication date: 29-Sep-2007
  • (2007)Effects of presenting geographic context on tracking activity between camerasProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/1240624.1240801(1167-1176)Online publication date: 29-Apr-2007
  • (2006)Support for effective use of multiple video streams in securityProceedings of the 4th ACM international workshop on Video surveillance and sensor networks10.1145/1178782.1178787(19-26)Online publication date: 27-Oct-2006

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