Distraction driving detection method based on face posture estimation and sight deviation

Abstract

The invention provides a distraction driving detection method based on face posture estimation and sight deviation. The distraction driving detection method comprises the following steps: a face detection step, a face tracking step, a face key point detection step, a face pose estimation step and a distraction driving detection step. According to the invention, a depth infrared camera and other sensor equipment are not needed, and only RGB three-channel color images collected by a common camera are needed to be used for vehicle-mounted video image identification and distracted driving detection.

Description

technical field [0001] The invention relates to the field of intelligent driving, in particular to a distracted driving detection method based on face pose estimation and sight deviation. Background technique [0002] In the field of car safety driving, the driver's dangerous driving behavior will bring many potential safety hazards. In serious cases, it will threaten the lives of the driver and passengers in the car. Inattention and deviation of sight during driving are all dangerous driving. Behavior. At present, most of the technical implementation solutions in the field use traditional CV vision algorithms and machine learning algorithms to detect drowsy driving, fatigue driving and dangerous driving. The detection accuracy and detection effect are not high, and the generalization ability of algorithms and models is not strong enough. There may be insufficient supervision on the safe driving of car drivers. Contents of the invention [0003] In order to solve the prob...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problems of low detection accuracy and detection effect and insufficient generalization ability of algorithms and models in the detection of laborious driving and dangerous driving in the prior art, the p

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