Design And Implementation Of Intelligent Video Monitoring System Based On Face Recognition

In recent years,the whole video monitoring technology has been rapidly developed in various aspects,such as the development of the whole military aspect,the whole economic aspect and many other aspects,which have a wide range of applications and demonstration platforms.Through the use of information technology to achieve the security management of the entire residential community,the tourist attractions in the number of aspects such as statistics,and the bank's automatic teller machine for monitoring operations.At the same time,in order to be able to effectively prevent and stop the crime,the demand for unmanned automatic video monitoring system has been increasingly rising,this kind of intelligent system design goal is to be able to maximum extent,reduce the possibility of manual operation,constantly reduce the dependency for monitoring system of artificial,can pass between the completion of the operation to automation software on complex environments or core target real-time detection and tracking of the processing operation.This thesis mainly includes the following parts:In this thesis,aiming at the future development of the information management system of surveillance video,surveillance video information management system management system basic theory,introduces the performance requirements,data requirements,the main data information including video collection business logic playback of information-based management,business logic of information-based management of face detection,face tracking the business logic of information-based management,pan tilt control business logic information management,network control business logic information business logic information-based management,configuration management,etc.;Detailed description of monitoring video information management theory and related management ideas,and description of technologies related to the construction system,including B/S architecture,JavaEE enterprise development platform and MVC development framework,etc.Analysis from several aspects of information management system of video monitoring system in the actual demand,simple description system key business functions,and summarizes the various business functions in the system,the system boundary and system within the module division,at the same time,a detailed description of all business modules in the system function,by adopting UML modeling method,create a basic model of the information,Main function modules including video collection business logic playback of information-based management,business logic of information-based management of face detection,face tracking the business logic of information-based management,Pan Tilt control business logic information management,network control business logic information business logic information-based management,configuration management,late for surveillance video the standardization of information management in the whole operation information system can lay a good foundation.Haar features and AdaBoost algorithm are used to realize the face monitoring and tracking module.The experimental results show that the algorithm has strong extraction ability and can meet the needs of engineering.