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

研究成果: Conference contribution同行評審

6 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2009 IEEE Workshop on Computational Intelligence for Visual Intelligence, CIVI 2009 - Proceedings
頁面37-43
頁數7
DOIs
出版狀態Published - 20 7月 2009
事件2009 IEEE Workshop on Computational Intelligence for Visual Intelligence, CIVI 2009 - Nashville, TN, United States
持續時間: 30 3月 20092 4月 2009

出版系列

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

Conference

Conference2009 IEEE Workshop on Computational Intelligence for Visual Intelligence, CIVI 2009
國家/地區United States
城市Nashville, TN
期間30/03/092/04/09

指紋

深入研究「Accurate planar image registration for an integrated video surveillance system」主題。共同形成了獨特的指紋。

引用此