Research And Application Of Face Detection Technology In Monitoring System

Face detection technology is one of the most widely used technology in biological recognition technology,which is also the field of computer vision and pattern recognition research in the field of most of a topic.With the development of science and techno logy,the traditional identity authentication has been difficult to adapt to the demand of people.Based on the iris and fingerprint biometric verification of acquisition conditions demand is high,it is difficult to a wide range of promotion.Compared with his biometric identification technology(e.g.,iris,fingerprint).Face detection technology with the result of the operation is simple,intuitive and good concealment.Therefore,face detection technology in information security,criminal detection,utilities and other fields have broad application prospects.Face detection technology by computer to extract facial features,and according to these characteristics to determine the identity of a technology demonstration method.It involves image processing,pattern recognition,computer vision,physiology,psychology,and many other disciplines of knowledge,is one of the hot research areas.This article has carried on the thorough research to this,paper the main work and achievements have the following several aspects:(1)Adopt the method of skin color segmentation.There are many kinds of common color space,through the analysis in this paper,a YCgCb color space,its skin color clustering effect is better than other color space.This approach is based on the YCrCb color space,mathematical modeling,through extracting luminance and chrominance Cb,Cg structures.the skin color model,can effectively distinguish between the "face" and "the face" area,so the accurate positioning of face candidate regions is a fast method of threshold estimation.(2)The face detection is based on wavelet transform.According to the different methods of wavelet transform,it presents a new fusion method,the wavelet vector fusion method.This method constructs a new feature vector.First will be two layers of face image wavelet transform,and then take a level of high frequency information of the horizontal projection,vertical high frequency information of vertical projection,which finally will get direct projection sequence arrangement,using projection algorithm to locate facial features.The algorithm can improve the recognition rate and recognition speed.And it is not affected by mask and the deflection Angle,and has good robustness.(3)Through the face detection tec hnology in the digital monitoring system in actual application,distinguishes the face,and analyse the interference factors in the process of face detection;According to the attendance data analysis: posture,light intensity,speed,such problems as back ground can produce great influence on the recognition result.When face spent large deflection is not accurate positioning;When face move too fast,not real-time detect the human face.So face detection technology is put forward and the significance of digital monitoring system.