Personnel state detection method and device based on head information

Abstract

The embodiment of the invention discloses a personnel state detection method and device based on head information, and the method comprises the steps: detecting the two-dimensional position information of human face feature points in a face from a human face image comprising the face of a target person, and the human face feature points comprise the eyelid feature points of upper and lower eyelidsin the face; constructing a target three-dimensional face model corresponding to the target person based on the two-dimensional position information of the face feature points and a preset three-dimensional face model, wherein the target three-dimensional face model comprises upper and lower eyelids of human eyes constructed based on the eyelid feature points; determining current posture information of the head of the target person based on the target three-dimensional face model and / or the face image; based on the three-dimensional position information of the upper eyelids and the lower eyelids in the target three-dimensional face model, determining the current opening and closing length between the upper eyelids and the lower eyelids of the human eyes; and determining the current stateof the target person based on the current attitude information and the current opening and closing length, thereby improving the accuracy of the detection result of the current state of the target person.

Description

technical field [0001] The present invention relates to the technical field of video surveillance, in particular to a method and device for detecting a person's state based on head information. Background technique [0002] The method for detecting the current state of the relevant personnel generally can determine the current state of the personnel by detecting the state of human eyes. Specifically, the process of the method for detecting the current state of a person is generally as follows: obtain a face image collected for the target person, and determine the degree of opening and closing of the upper and lower eyelids of the human eye in the face image to determine the state of the eye of the target person. state, and then determine whether the current state of the target person is a fatigue state, wherein, when the opening and closing degree is lower than the preset opening and closing threshold, it is determined that the human eye is in a closed state, and then it is ...

AI Technical Summary

Problems solved by technology

[0003] However, in the current state detection method of relevant personnel, the current state of the driver is determined only based on the state of the human eye, which is prone to false detection to a certain extent

For example, when the person is a vehicle driver and the vehicle is driven in a strong light environment, the impact of strong light will easily cause the degree of opening and closing of the upper and lower eyelids of the driver's eyes to be lower than the preset opening and closing threshold , and thus prone to false detection results

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