Napping behavior detection method based on fast Fourier transform

Abstract

The invention discloses a napping behavior detection method based on fast Fourier transform, which comprises the following steps: carrying out face detection for collected images, collecting coordinates of a central point of a rectangular area with a detected human face, and carrying out spectrum analysis for data through fast Fourier transform when the collected coordinates of the central point reaches required values, so as to find out a spectrum difference between napping and normal movement of a person. During the spectrum analysis, the head behaviors of a person are divided into three states, static, slightly moving and regulating moving. The head behaviors in a time period are analyzed after the spectrum analysis is carried out for a plurality of times, in order to find out a dominating state in the time period. When the regular movement in the vertical direction dominates, the person can be judged to be napping at present. The invention adopts the pattern recognition technologyand the statistical judgment method to detect the napping behavior, and has the advantages of no contact, high robustness and good instantaneity.

Description

A dozing behavior detection method based on fast Fourier transform technical field The invention belongs to the application field of image processing and pattern recognition technology, in particular to a detection method of dozing behavior in driver fatigue detection. Background technique At present, in the field of driver fatigue detection, most of them focus on whether the driver blinks and how often the driver blinks. The current method needs to find out the position of the eyes for discrimination, so this detection method will not be able to meet the needs of the driver at this time. At present, in the detection technology of the driver's dozing behavior, the main method is hardware implementation, which collects the motion information of the head through the sensor installed on the driver's head, and judges whether the driver is dozing off according to the angle of the head rotation. This method is a contact detection method, which will cause a certain amount of int...

AI Technical Summary

Problems solved by technology

At present, in the field of driver fatigue detection, most of them focus on whether the driver blinks and how often the driver blinks. The current method needs to find out the position of the eyes for discrimination, so this detection method will not meet the needs of drivers at this time

At present, in the detection technology of the driver's dozing behavior, the main method is hardware implementation, which collects the motion information of the head through the sensor installed on the driver's head, and judges whether the driver is dozing off according to the angle of the head rotation. This method is a contact detection method, which will cause some interference to the driver, and because the angle of head rotation in each person's dozing behavior is different, this method is not robust and inconvenient to use

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