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The Clubhouse Intelligent Monitoring System Based On Face Recognition Research

Posted on:2014-02-11Degree:MasterType:Thesis
Country:ChinaCandidate:L L RuanFull Text:PDF
GTID:2248330395982674Subject:Measuring and Testing Technology and Instruments
Abstract/Summary:PDF Full Text Request
This paper is proposed with the background of intelligent design in Wuxi business club, which confirms to the modern building intelligent control trend. Based on the concept of intelligent building, an intelligent club monitoring system is developed. This paper focuses on the research of video surveillance system based on face recognition, which includes three mainly aspects of the design of develop platform, face detection and face recognition. This paper uses OpenCV1.0and VC++6.0as develop platform to build the framework of the entire system.Through the noise processing methods of Gaussian filter with morphological filter and Adaboost+Cascade+Haar algorithm, this paper realizes the fuction of face detection. In the face recognition, firstly, this paper uses histogram equalization combined with Retinex algorithm to process face imge, secondly, EHMM is used to train face database, thidly, the trained face database is used to face recognition. As a result, this paper achieves the function of recognition strangers and alarm.Apart from this, this paper develops an entire monitoring system with Labview software platform, which realizes intelligent centralized monitoring of temperature、humidity、data of central air conditioning、smoke alarms、electronic fence system、access control system and so on.The field tests show that this intelligent system realizes the scene of intelligent monitoring and alarm process. And in the case of testing, the subsystem of face recognition achieves the face detection accuracy of90%and the strangers alarm accuracy of80%. As a result, this paper basicly achieves a reliable and real-time intelligent monitoring system of business club.
Keywords/Search Tags:Retinex, Adaboost, EHMM, intelligent monitoring, face recognition, face detection
PDF Full Text Request
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