Design and Implementation of Panoramic Video Surveillance System Based on OMAP4460

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Video surveillance technology plays an important role in the security field, with its intuitive, convenient and abundant information and is widely used in city traffic, civil security and other various fields especially in the important safety departments or major events. In this paper, according to the video surveillance system features and functional requirements, we use embedded system ,OMAP4460 and Android operating system on the basis of the panoramic technology to realize vertical 180 degrees horizontal 360-degree panoramic video surveillance. In the paper we profoundly analyze and discuss the embedded panoramic video surveillance system mainly from the hardware platform structures, the design of the peripheral circuit and the panorama function implement.

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470-473

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Lin Yuan, Shen Yu: The Embedded Technology In Intelligent Home Furnishing Control System Application, (2006)( In Chinese).

Google Scholar

[2] Jian Gao: Research On 3D Reconstruction Application System, April 5, (2009), (In Chinese).

Google Scholar

[3] R. Szeliski: Image Alignment and Stitching, A tutorial Technical Report MSR-TR-2004-92,Microsoft Research, December (2004).

Google Scholar

[4] M. Brown, D. Lowe: Recognising panoramas,In Proceedings of the 9th International Conference on Computer Vision (ICCV03),volume 2,October, (2003).

Google Scholar

[5] R. Szeliski, S. Kang: Direct Methods for Visual Scene Reconstruction,InIEEE Workshop on Representations of Visual Scenes, pages 26 ~ 33 ,Cambridge,(1995).

DOI: 10.1109/wvrs.1995.476849

Google Scholar

[6] I. Zoghlami, O. Faugeras, R. Deriche: Using Geometric Corners to Build a 2D Mosaic From a Set of Images,In Proceedings of the International Conference on Computer Vision and Pattern Recognition,Puerto Rico. IEEE,June (1997).

DOI: 10.1109/cvpr.1997.609359

Google Scholar