Method and device for recognizing distractions and dangerous driving behaviors of a driver and storage medium

Abstract

The invention provides a method and device for recognizing distractions and dangerous driving behaviors of a driver and a storage medium, and aims to solve the problems that the distractions and dangerous actions of the driver are low in recognition accuracy in the driving process, and early warning cannot be performed in time after recognition. The method mainly comprises the following steps: S1,acquiring image information of a driver; S2, detecting the driving behavior of the driver according to the image obtained in the S1, and judging whether a defined dangerous driving behavior occurs ornot; S3, performing face detection on the image obtained in the step S1; S4, carrying out key point positioning, micro-expression recognition and sight line estimation according to the face area provided in the S3; and S5, judging whether the driver has distractions and dangerous driving behaviors or not according to the information obtained in the S4 and the S2. According to the method, the driving behavior of the driver can be detected in real time in a non-contact mode, the method is easy to implement and high in recognition accuracy, the method can be widely applied to the fields of intelligent driving and the like, and the safety and reliability of the driving behavior are improved.

Description

technical field [0001] The present invention relates to the field of automobile technology and the field of image processing technology, in particular to a method, device and storage medium for identifying driver distraction and dangerous driving behavior. Background technique [0002] With the development of social economy, automobiles have become an indispensable tool for people to travel, but the traffic accidents that follow have become a challenge that must be faced for people's lives and property safety. According to statistics, most of the existing traffic accidents are caused by improper operation, in which the driver's distraction, bad mood and unsafe driving operation in the driving process are the main causes of traffic accidents. For example, the driver's operations such as answering and calling mobile phones during driving will seriously interfere with the driver's attention, so that he cannot concentrate on observing the road conditions ahead and around him. On...

AI Technical Summary

Problems solved by technology

[0010] In order to solve the problems described in the prior art, it is also necessary to solve the problems of insufficient training samples, fewer information patterns used by algorithms, single sensor patterns and positions, false positives in the process of distraction detection and judgment, and driver micro-expression recognition, etc. The problem is that the identification accuracy of the current driver monitoring system is poor. In the first aspect of the present invention, a method for identifying driver distraction and dangerous driving behavior is proposed. The method includes:

Images