Design and Applications of Embedded System in Video Surveillance

Zhang Cheng Yan; Pang Xiao Fen

doi:10.4028/www.scientific.net/AMM.596.536

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Design and Applications of Embedded System in Video Surveillance
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Fast Finite-Time Consensus Tracking of First-Order Multi-Agent Systems with a Virtual Leader
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 596Design and Applications of Embedded System in...

Design and Applications of Embedded System in Video Surveillance

Abstract:

In this paper, we select the ARM11 S3C6410 processor and embedded Linux system using the system needs to build a development environment. Studied in the embedded Linux operating system USB video capture device driver modules, collecting network video surveillance system implemented by V4L2 driver framework. Video capture program primarily through ioctl system function calls to access V4L2 driver framework. Completion of real-time video transmission via RTP / RTCP protocol. In addition, the Web server development platform porting.

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Periodical:

Applied Mechanics and Materials (Volume 596)

Pages:

536-539

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.596.536

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Online since:

July 2014

Authors:

Zhang Cheng Yan*, Pang Xiao Fen

Keywords:

Embedded System, Microprocessors, Video Capture, Video Surveillance

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* - Corresponding Author

References

[1] P. Brox, I. Baturone, S. S. Solano: Fuzzy logic-based embedded system for video de-interlacing, Applied Soft Computing, Vol. 14 (2014), pp.338-346.

DOI: 10.1016/j.asoc.2013.01.015

Google Scholar

[2] N. W. Lo, H. T. Chang, J. Y. Chang: Caged mice mating behavior detection in surveillance videos, Journal of Visual Communication and Image Representation, Vol. 25 (2014), pp.755-762.

DOI: 10.1016/j.jvcir.2014.02.002

Google Scholar

[3] J. H. Ko, E. S. Kim: Stereoscopic video surveillance system for detection of target's 3D location coordinates and moving trajectories, Optics Communications, Vol. 266 (2006), pp.67-79.

DOI: 10.1016/j.optcom.2006.04.020

Google Scholar

[4] U. Ali, M. B. Malik: Hardware/software co-design of a real-time kernel based tracking system, Journal of Systems Architecture, Vol. 56 (2010).

DOI: 10.1016/j.sysarc.2010.04.008

Google Scholar

[5] C. Salvadori, M. Petracca, S. Madeo: Video streaming applications in wireless camera networks: A change detection based approach targeted to 6LoWPAN , Journal of Systems Architecture, Vol. 59 (2013), pp.859-869.

DOI: 10.1016/j.sysarc.2013.05.009

Google Scholar

[6] M. Cristani, R. Raghavendra: Neurocomputing, Human behavior analysis in video surveillance: A Social Signal Processing perspective, Vol. 100 (2013), pp.86-97.

DOI: 10.1016/j.neucom.2011.12.038

Google Scholar

[7] H. T. Ngo, R. W. Ives, R. N. Rakvic: Real-time video surveillance on an embedded, programmable platform, Microprocessors and Microsystems, Vol. 37 (2013), pp.562-571.

DOI: 10.1016/j.micpro.2013.06.003

Google Scholar