Research and Design of Wireless Video Monitoring

Abstract:

Based on the actual situation of Shijiazhuang Yehe irrigated area, firstly has carried on the hardware design of wireless video monitoring system, and then design the monitoring center software to the modular, and discusses the structure of the wireless transport protocol, finally discusses the water conservancy industry monitoring of intelligent image processing. This paper effectively solves the problems of water conservancy industry the widely of Monitory point distribution and the terrain complex difficult to monitor, Achieved the water conservancy industry unattended and real-time monitoring and water resources scheduling.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 1018-1022
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.1018
• Online since: August 2013
• Authors: Xue Li Wu, Yu Zhu Li, Ying Zhang, Bin Wang, Tao Ma
• Keywords: Intelligent Image Analysis, Video Monitoring, Water Conservancy, Wireless Transmission

References

[1] Antonio-Javier Garcia-Sanchez, Felipe Garcia-Sanchez, Joan Garcia-Haro. Wireless sensor network deployment for integrating video-surveillance and data-monitoring in precision agriculture over distributed crops. Computers and Electronics in Agriculture. Vol. 75(2011).

DOI: 10.1016/j.compag.2010.12.005

[2] Xiaogang Wang. Intelligent multi-camera video surveillance. Pattern Recognition Letters . Vol. 34(2012), pp.3-19.

[3] D. Vallejo, J. Albusac, J. Castro-Schez, C. Glez-Morcillo, L. Jimenez. A multi-agent architecture for supporting distributed normality-based intelligent surveillance. Engineering Applications of Artificial Intelligence . Vol. 24(2011), pp.325-340.

DOI: 10.1016/j.engappai.2010.11.005

[4] Marco Cristani, R. Raghavendra, Alessio Del Bue, Vittorio Murino. Human behavior analysis in video surveillance. Vol. 21(2012), pp.892-903.

DOI: 10.1016/j.neucom.2011.12.038

[5] Yaniv Gurwicz, Raanan Yehezkel, Boaz Lachover. Multiclass object classification for real-time video surveillance systems. Pattern Recognition Letters . Vol. 32(2011), pp.805-815.

DOI: 10.1016/j.patrec.2011.01.005

[6] Chris Poppe, Sarah De Bruyne, Tom Paridaens, Peter Lambert, Rik Van de Walle. Moving object detection in the H. 264/AVC compressed domain for video surveillance applications. Journal of Visual Communication and Image Representation. Vol. 6(2009).

DOI: 10.1016/j.jvcir.2009.05.001

[7] Haydn A Thompson. Wireless and Internet communications technologies for monitoring and control. Control Engineering Practice. Vol. 3(2004), pp.781-791.

DOI: 10.1016/j.conengprac.2003.09.002

[8] R. Punchalard, J. Koseeyaporn,P. Wardkein. Adaptive IIR notch filter using a modified sign algorithm，Signal Processing. Vol. 22(2009), p.239–243.

DOI: 10.1016/j.sigpro.2008.08.002

[9] Qinyu Xiao. Intelligent video monitoring key technology analysis. The manufacturing automation. Vol. 12(2012), pp.21-23.

[10] Ke Li. The field of water conservancy video monitoring and analyzing system design. Water and electricity energy science. Vol. 3(2012), pp.151-154.

[11] Yuyan Zhang. Introduction to video monitoring system application in water conservancy industry trends. Shandong water conservancy. Vol. 8(2009), pp.26-28.