Dangerous driving behavior recognition method based on bone characteristics

Abstract

The invention relates to a dangerous driving behavior recognition method based on bone characteristics. The method comprises a dangerous driving behavior model training step of determining characteristics for distinguishing driving behavior types according to historical image information of a driving behavior, extracting and training corresponding bone characteristic information according to the determined characteristics and determining a dangerous driving behavior model, and a dangerous driving behavior recognition step of collecting the current image information of a driver during driving,substituting the information into the dangerous driving behavior model for testing, and determining a prediction result of a dangerous driving behavior according to a test result. Compared with the prior art, the method has the advantages of high prediction accuracy, a high real-time processing property and low hardware cost.

Description

technical field [0001] The invention relates to the field of behavior recognition, in particular to a method for recognizing dangerous driving behavior based on skeleton features. Background technique [0002] With the continuous development of the economic level, automobiles have become a common means of transportation, but there are also a large number of traffic accidents that follow. Through the analysis of these accidents, it can be concluded that the dangerous behavior of drivers has become the main cause of traffic accidents. Therefore, the driver's behavior specification is very important, and the demand for its behavior detection is also increasing. In the past, surveillance video and human analysis were usually used to collect and detect the behavior of car drivers. However, such traditional methods generally cannot achieve real-time processing, and the analysis of driver behavior will be quite cumbersome. [0003] Patent CN105551182A provides a driving state mo...

AI Technical Summary

Problems solved by technology

However, such traditional methods generally cannot achieve real-time processing, and the analysis of driver behavior will be quite cumbersome.

[0003] Patent CN105551182A provides a driving state monitoring system based on Kinect human body posture recognition, which uses Kinect sensors and infrared cameras to capture the driver's human body section image, thereby realizing the recognition of the joint point positions of the human body, and analyzing them separately according to the joint recognition results The movements of the driver's head, spine, and arms can be used to determine whether the driver has dangerous driving behavior. On the one hand, this system has high hardware costs and requires the cooperation of Kinect sensors and infrared cameras to identify the driver's behavior. On the one hand, the analysis mode of the system is to split the driver's overall action into the actions of multiple parts of the human body. Since the dangerous driving behavior of the human body is often reflected by the actions of multiple parts together, the analysis of the system does not have the Integrity, accuracy drops significantly

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