A 3-D surveillance system using multiple integrated cameras

Yi Yuan Chen*, Yung Huang Huang, Yung Cheng Cheng, Yong-Sheng Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Conventional surveillance systems usually use multiple screens to display acquired video streams and may cause trouble to keep track of targets due to the lack of spatial relationship among the screens. This paper presents an effective and efficient surveillance system that can integrate multiple video contents into one single comprehensive view. To visualize the monitored area, the proposed system uses planar patches to approximate the 3-D model of the monitored environment and displays the video contents of cameras by applying dynamic texture mapping on the model. It is an efficient method for interactive 3-D monitoring of the environment without complicated procedures like camera calibration or 3-D model reconstruction. Moreover, moving objects are extracted through foreground segmentation and then visualized through axis-aligned billboarding. In this way, the system provides security guards a better situational awareness of the monitored site, including the activities of the tracking targets.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Information and Automation, ICIA 2010
Pages1930-1935
Number of pages6
DOIs
StatePublished - 24 Aug 2010
Event2010 IEEE International Conference on Information and Automation, ICIA 2010 - Harbin, Heilongjiang, China
Duration: 20 Jun 201023 Jun 2010

Publication series

Name2010 IEEE International Conference on Information and Automation, ICIA 2010

Conference

Conference2010 IEEE International Conference on Information and Automation, ICIA 2010
CountryChina
CityHarbin, Heilongjiang
Period20/06/1023/06/10

Keywords

  • Axis-aligned billboarding
  • Planar patch modeling
  • Video surveillance system

Fingerprint Dive into the research topics of 'A 3-D surveillance system using multiple integrated cameras'. Together they form a unique fingerprint.

Cite this