Front face image detection method

Abstract

The invention provides a front face image detection method which includes the steps of capturing a video image, preprocessing the image by conducting median filtering, illumination compensation and image edge processing, detecting a face based on a method combining a cascade classifier and key characteristic points, and sorting out a front face image by using the geometric relation of the key characteristic points on a two dimensional plane. The method improves the image preprocessing method in a conventional face detection process. Interference on original image characteristics is reduced on the premises of realizing illumination compensation and de-noising. The error detection rate of face detection system based on an AdaBoost cascade classifier is lowered through the improved face detection method. Weight is added to a partial gray scale model of characteristic points through gauss distribution functions, thereby increasing the efficiency of a facial key characteristic points positioning method. A front face image is sorted out based on facial characteristic points accuracy positioning and by using the planar geometric relation of the characteristic points on a two-dimensional image.

Description

technical field [0001] The invention relates to the field of video image processing, in particular to a method for detecting a front face image. Background technique [0002] With the changes in the international security situation, public security has been paid more and more attention by the society. Video surveillance in large-scale places with high crowd density plays a role in monitoring dangerous people and early warning of dangerous activities, and at the same time provides strong evidence for public security organs to crack cases. However, it still cannot meet the needs of the society, such as fingerprints, irises, etc., and still needs the active cooperation of the test subjects. [0003] In recent years, the human face has gradually become one of the main objects of video surveillance due to its efficient biometric features and concealment. The detection of facial regions is usually a key step in intelligent recognition and analysis based on facial biometrics. Mos...

AI Technical Summary

Problems solved by technology

[0006] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a detection method for a front face image, which is used to solve the problem that the detection accuracy of the face in the monitoring system in the prior art is not high, and it is easily affected by light and noise. , and the problem of insufficient face key feature point detection technology

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