Multi-viewing-angle face detection method based on skin color segmentation and machine learning

Abstract

The invention discloses a multi-viewing-angle face detection method based on skin color segmentation and machine learning. The method comprises the following steps: firstly, performing equalization processing on an original color image by adopting GrayWorld, and performing skin color detection by using an elliptic model; secondly, getting the minimum surrounding rectangle of a skin color connected region, appropriately expanding the minimum surrounding rectangle, and performing graying and median filtering processing on the minimum surrounding rectangle; and finally, performing multi-scale traversal search detection by using a multi-viewing-angle face detection device, and combining and outputting detection results. The multi-viewing-angle face detection device is formed by cascade classifiers which are corresponding to five viewing angles and are arranged in parallel, and the classifiers are trained by adopting a risk sensitive type continuous Adaboost algorithm. According to the method disclosed by the invention, the GrayWorld is adopted to perform equalization to effectively eliminate color offset, and the elliptic model is used for detecting the skin color, so that the subsequent search range is reduced and then the detection speed is accelerated; the risk sensitive type continuous Adaboost algorithm is used for constructing the multi-viewing-angle face detection device, the classification boundary can be portrayed more accurately, and a better classification effect on face samples can be achieved; and the method has a wide application prospect in the aspects of intelligent video monitoring and the like.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to a multi-view human face detection method based on skin color segmentation and machine learning. Background technique [0002] Face detection is an important research direction in the field of pattern recognition and computer vision, and it also provides an effective way to solve various target detection and recognition problems. Multi-view face detection refers to the detection of face appearance patterns covering a large range of viewing angles in images, and it has broad application prospects in the fields of human-computer interaction, intelligent monitoring, and robot vision. [0003] As an important part of the intelligent monitoring system, the multi-view face detection system can greatly improve the efficiency and effect of pedestrian monitoring and counting work in important occasions, and accelerate the pace of automation and intelligence of pedes...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the technical problem of quickly and accurately detecting multi-view faces from complex scenes, the present invention provides a multi-view face detection method based on skin color segmentation and machine learning

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