Accurate planar image registration for an integrated video surveillance system

Yung Cheng Cheng, Kai Ying Lin, Yong-Sheng Chen, Jenn-Hawn Tarng, Chii Yah Yuan, Chen Ying Kao

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

4 Scopus citations

Abstract

Large-scale video surveillance systems typically deploy many video cameras over a wide area and display video streams on separate screens. Operators of this kind of systems have difficulties perceiving the whole pictures of intermixed views and are prone to losing track of targets. This paper presents a surveillance system which integrates videos from multiple cameras into a single comprehensive view. Operators can monitor the guarded area from any 3- D viewpoint. For integrated surveillance systems, the accuracy of image registration significantly affects the appearance of stitched views. This paper also presents a new planar image registration method in which the transformation parameters are decomposed from the homography matrix and are optimized according to a similarity measure between corresponding regions. The proposed registration method is pratical and accurate, as demonstrated in our integrated surveillance system.

Original languageEnglish
Title of host publication2009 IEEE Workshop on Computational Intelligence for Visual Intelligence, CIVI 2009 - Proceedings
Pages37-43
Number of pages7
DOIs
StatePublished - 20 Jul 2009
Event2009 IEEE Workshop on Computational Intelligence for Visual Intelligence, CIVI 2009 - Nashville, TN, United States
Duration: 30 Mar 20092 Apr 2009

Publication series

Name2009 IEEE Workshop on Computational Intelligence for Visual Intelligence, CIVI 2009 - Proceedings

Conference

Conference2009 IEEE Workshop on Computational Intelligence for Visual Intelligence, CIVI 2009
CountryUnited States
CityNashville, TN
Period30/03/092/04/09

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