High-accuracy driver behavior recognition and monitoring method and system

Abstract

The invention discloses a high-accuracy driver behavior recognition and monitoring method and system. The method includes the steps that real-time video frames are acquired through two cameras; target position detection and target position feature extraction are conducted on the acquired real-time video frames, and then real-time target position feature points are obtained; the real-time target position feature points are compared with standard target position feature points obtained according to a training sample and a target template, and driving behaviors of a driver are recognized and analyzed according to a comparison result; a recognition and analysis result is fed back to a user for real-time display. According to the method, real-time video data are acquired through the two cameras, so that the defect of non-real-time performance in the prior art is overcome; the two cameras are used for acquiring real-time video images accurately; through target position detection, target position feature extraction and feature point comparison, recognition accuracy and monitoring accuracy are further improved. The method and system can be widely applied to the fields of intelligent traffic and image processing.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation and image processing, in particular to a high-precision driver behavior recognition and monitoring method and system. Background technique [0002] With the increase in the number of cars and the expansion of road construction scale, problems such as traffic accidents are becoming more and more obvious. China is the country with the largest population and the country with the highest number of road traffic accident deaths, ranking first in the world for several consecutive years. The vast majority of traffic accidents are caused by driver error and fatigue driving. Due to changes in age, physical or mental health, emotions, etc., even a good driver may not be able to maintain his original good driving state for a long time, but it is difficult for the driver himself to realize this gradual attenuation or subside. Therefore, identifying and monitoring the driver's driving beha...

AI Technical Summary

Problems solved by technology

Although the above methods are relatively accurate, these methods are leading or lagging rather than real-time. Generally, they are measured before or after driving, and the real-time performance is poor, and complex detection instruments need to be placed in the limited space of the cab. , difficult to install

In addition, the existing technology generally only uses a single camera to obtain driving images, there are dead spots in the video, it is impossible to fully collect driving images, and the accuracy is low

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