DocumentCode :
2608301
Title :
Implementation of WSN application service using people detection algorithm
Author :
Yu, HongYeon ; Son, SeungChul ; Kim, NacWoo ; Lee, Byungtak
Author_Institution :
Honam Res. Center, Electron. & Telecommun. Res. Inst., Daejeon, South Korea
fYear :
2012
fDate :
15-17 Oct. 2012
Firstpage :
117
Lastpage :
118
Abstract :
In this paper, we implements intrusion detection system for video surveillance which works well in wireless sensor networks (WSN) environment. Our system has been implemented using open geospatial consortium standard, and operated in the android platform of mobile environment. We also have been implemented intruder detection by machine learning technique. As a result, our system can achieve real-time and robust people classification in diverse scenes.
Keywords :
learning (artificial intelligence); mobile computing; object detection; video surveillance; wireless sensor networks; WSN application service; WSN environment; android platform; intruder detection; intrusion detection system; machine learning technique; mobile environment; open geospatial consortium standard; people detection algorithm; real-time people classification; video surveillance; wireless sensor networks; Detection algorithms; Logic gates; Mobile communication; Servers; Standards; Video surveillance; Wireless sensor networks; OGC; People detection; SWE; mobile device; object classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICT Convergence (ICTC), 2012 International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4673-4829-4
Electronic_ISBN :
978-1-4673-4827-0
Type :
conf
DOI :
10.1109/ICTC.2012.6386793
Filename :
6386793
Link To Document :
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