Detection method suitable for call receiving and making behavior of driver under multiple postures

Abstract

The invention discloses a detection method suitable for the call receiving and making behavior of a driver under multiple postures. The detection method comprises the following steps: 1; image acquisition: acquiring the face image information of the driver; 2. image recognition: carrying out real-time face detection on the acquired image; 3. face feature point calibration: carrying out feature point positioning on the detected face, wherein the feature points comprise eyebrows, eyes, a nose, a mouth and the like; 4. the three-dimensional posture detection of the head: utilizing geometrical features to detect the three-dimensional posture of the head, and judging the posture of the head; 5. calibration of a face outline ellipse: utilizing the sign feature points including the eyebrows, the eyes, the nose and the mouth and the three-dimensional posture of the head of the driver to carry out the calibration of the face outline ellipse on the driver through linear regression; and 6. carrying out call receiving and making behavior detection and judgment out of the calibrated face outline ellipse. Through the three-dimensional posture detection of the head of the driver, a supervised gradient descent method is adopted to position face feature points, and the calibration of the face outline ellipse is combined to carry out judgment so as to realize the flexible detection, the intelligent analysis and the accurate judgment of the call receiving and making behavior of the driver under multiple postures at multiple angles, and the detection method is high in instantaneity, practicality and reliability.

Description

technical field [0001] The invention belongs to the field of vehicle safety systems, and relates to a method suitable for detecting the behavior of a driver answering a phone call under multiple postures, in particular, using facial feature point positioning under multiple postures, combined with head three-dimensional posture detection to perform contour ellipse calibration, Then, according to the relationship between the face and the human hand, it can accurately and effectively judge whether the driver has the behavior of answering and calling. Background technique [0002] At present, a large number of statistical data confirm that drunk driving is no longer the first "killer" that causes traffic accidents and casualties. The driver's inattention when driving is the biggest cause of traffic accidents, and the driver's driving on the phone has already become the main cause of inattention. [0003] There are three major hazards in making or answering calls while driving: ...

AI Technical Summary

Problems solved by technology

[0005] However, at present, there is no technology and equipment that can intelligently detect and identify the behavior of drivers answering and calling, and fleet managers cannot know the behavior of drivers answering and calling in a timely and accurate manner and stop them

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