Analysis And Application Of Intelligent Video Recognition Technology

According to Ministry of Public Security "Urban alarm and monitoring system construction" project in the pilot cities to promote the requirements of the city of Kunming in 2007 to carry out construction of urban monitoring systems, including the social resources, monitoring systems and social security are two aspects of monitoring system construction. Now, with the completion of system construction and put into use, in the police solved the case and make an important role in the process for the criminal investigation has provided a strong evidence base, how to be more effective and better development and application to become builders of the post-project focus on take into account aspects.Deter illegal and criminal acts in the same time, monitoring the application of the system from the following aspects can be further in-depth consideration and study: Integrating geographic information system platform can fast track the situation and cases of suspicious routes; through the intelligent use of video images can be more for the effective prevention of cases occur, the behavior of natural persons may be established to identify early-warning mechanism; for a natural person whose facial features of the establishment of information collected and compare the screening suspicious person, and so are all the future functions of the system improvement and development.In this paper, for intelligent video surveillance technology research and analysis, compared several common biometric model, selected face recognition as an object of study, describes the implementation of commonly used face recognition methods, and analysis of its principles, focusing on In the existing video surveillance based on the human face detection and face recognition technologies for modeling, to achieve rapid Adaboost face detection methods, analysis of the methods used by rectangular features and integral image is calculated using these rectangular structure features a number of weak classifiers and cascading into a strong classifier, the design of human face detection systems, image tested at the same time,on the detected face into the gray-scale changes, such as histogram equalization pre-processing, makes the image more suitable for face recognition; principal component analysis based on the characteristics of the face analysis algorithms, to complete the training and face recognition face two major steps to face detection and face recognition combining the two parts of the organic build an auto-complete face detection and recognition of a more complete system prototype.The article from the angle of job applications, analyzed the current of public work of the intelligence analysis and technical importance to detect and identify the face of recognition technology system application for analysis and consideration.