Eyes open detection with multi-nerve network combination based on identifying model

Abstract

A multi-nerve network combinative opening-eyes examination method base on distinguishing model belongs to the field of image process. The invention includes: A, marking the connecting area after binary, filtrate the possible area according to the binary geometry module of human eyes; B, designing the multi-nerve network combinative detector base on the distinguishing module, namely distinguish the binary image by the radial basic nerve network, detect the opening-eyes if it distinguish, otherwise carry through the next step. C, distinguishing the ash-image by the anti-nerve network, cumulating the times if it undistinguished, that will not detect the opening-eyes if the times are over six, otherwise continuing the next step. D, detecting the opening-eyes if the studying state is not set, asking the area whether or not is human eyes to the teacher if the studying state is set, saving the binary image and retraining the radial basic nerve network if it is human eyes, otherwise saving the ash-image and retraining the anti-nerve network.The invention does not need lots of original training samples, the detecting capability will improve continuously by the supervised study.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to an eye-opening detection method based on a recognition model combined with multiple neural networks. Background technique [0002] The problem solved by the method proposed by the present invention is how to identify whether the eyes of the person are opened after obtaining the face image. Recognizing the state of whether people have their eyes open can be widely used in various intelligent interactive systems, such as the detection of students' attention in network distance teaching, and the detection of driver's attention in car driving. However, the influence of many factors such as illumination, size, posture, glasses, eyebrows, etc., make this recognition work a very challenging task. At present, the work related to the eyes mainly focuses on the positioning of the eyes, that is, to find out the position of opening or closing the eyes. The main method i...

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Problems solved by technology

[0003] Found through document retrieval to prior art, article Eye detection using color cues and projection functions in Proc.2002Int.Conf.on Image Processing, 2002, vol.3 (the eye detection method that adopts color information and projection function, Image Processing 2002 2010 International Conference) proposed to use color information to find the skin area first, and then look for the eyes in the skin area and its vicinity, but this method is easily affected by light

Article Detecting and tracking eye by using their physical properties, dynamics and appearance in Proc.Of IEEE Conf. on Computer Vision and Pattern Recognition, 2000, vol.1 (eye detection and tracking method using physiological properties, computer vision and pattern recognition in 2000 IEEE conference) describe a method for eye detection using infrar...

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