Method for accurately and efficiently extracting human head ellipse and detecting shielded human face

Abstract

The invention provides a method for accurately and efficiently extracting a human head ellipse and detecting a shielded human face. The method for extracting comprises the steps that a background frame collected, analyzed and processed to obtain statistic conditions met by a background, and the statistic conditions serve as criteria of subsequent background updating; a frame difference method is utilized to adjust a binarization threshold value of a grey-scale image and remove the interference and the influence of the background, a binary image containing a person is obtained, and a rectangle of an area where the head is located is found out by using a statistic rule met by a human head curve and serves as a basis for subsequent processing; through a self-adaptive ellipse algorithm, the size and the position of the ellipse are adjusted according to the set criteria, and the optimal ellipse meeting the conditions is found through circulation. According to the method, the timeliness and the accuracy rate of the background upgrading are high, the need for real-time processing can be met, the basis for a subsequent head ellipse accurate extracting algorithm is provided, the method can be applied to a video processing and real-time monitoring system, and the detection for the shielded human face can be applied to the processing of ATM real-time monitoring videos, and used for the timely automatic alarming of suspicious situations.

Description

technical field [0001] The invention belongs to the field of pattern recognition in computer vision. Specifically, the present invention relates to a head positioning method and a masked face detection method, especially a method for accurately and efficiently extracting a human head ellipse and a masked face detection method based on real-time video collected by a camera. Background technique [0002] Face recognition and abnormal face detection are an important research topic in the field of pattern recognition, and have extensive and in-depth applications in surveillance video processing, identity verification, and alarm systems. In order to assist the camera in data collection and analysis, especially to warn people who deliberately cover their faces, it is necessary to have a head extraction and anomaly detection method that can adapt to this scene. Feature-based face recognition is a relatively mature method. It uses multiple cascaded weak classifiers that can reflect...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problems of the high time complexity of the Gaussian background model and the insufficient ability of traditional head recognition and extraction methods for masked face detection, an accurate and efficient extraction method of human head ellipse and masked face detection method are provided.

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