Driver eye movement characteristics handover detecting and tracing method based on light sensing

An eye movement feature, light sensing technology, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problems of poor real-time performance, long calculation time, poor robustness and accuracy, and achieve high accuracy, Good real-time performance, improving nonlinear strong tracking ability and the effect of

Inactive Publication Date: 2010-09-15
SOUTHWEST JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

In practical applications, they all expose the following problems that need to be solved urgently: 1. It is difficult to track eye movement under nighttime lighting conditions; 2. The eye tracking algorithm in the actual d...

Method used

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  • Driver eye movement characteristics handover detecting and tracing method based on light sensing
  • Driver eye movement characteristics handover detecting and tracing method based on light sensing
  • Driver eye movement characteristics handover detecting and tracing method based on light sensing

Examples

Experimental program
Comparison scheme
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Embodiment

[0029] figure 1 Shown, a kind of driver's eye movement feature switching detection and tracking method based on light sensing, its steps are as follows:

[0030] a. Feature extraction method switching and positioning:

[0031] During the driving process, the USB camera is used to obtain the driver's facial image, and the light sensor is used to detect the illuminance of the driving environment;

[0032] When the detected illuminance is ≥4Lux (lux) and lasts for more than 1 minute, the computer starts the Harr human eye detection method for positioning, that is: according to the Harr features independent of each other in the horizontal and vertical directions, the integral image method is used to quickly calculate the acquired The eigenvalues ​​of the driver's face image, and then according to the eigenvalues, use the human eye area segmentation method to quickly locate the human eye;

[0033] When the light brightness is less than 4Lux (lux) and lasts for more than 1 minute,...

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PUM

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Abstract

The invention discloses a driver eye movement characteristics handover detecting and tracing method based on light sensing, comprising the following steps: detecting illuminance by a light sensor, positioning a high illuminance condition by a Harr human eye detection method, and positioning a low illuminance condition by a bi-dimensional orthotropic Log-Gabor human eye detection method started by a computer; maintaining all-day position without influence of illuminance; and adding two dimensional parameters of system noise and observation noise on the basis of an uniform model after positioning, performing logarithmic transform on the two dimensional parameters, establishing a human eye non-linear model and a sampling strong tracking non-linear filter, adjusting system process noise and observation noise covariance matrix by fading factors, improving the non-linear strong tracking capability and model state robustness of a UKF filter, adapting to driver normal emergent operation reaction, and improving real time property of an algorithm by adopting a sampling strategy that (n+2) numbered sampling points perform strong tracking on Sigma point in the UKF filter.

Description

technical field [0001] The invention relates to an image detection and tracking method, in particular to a driver's eye detection and eye movement tracking method in a driving environment. technical background [0002] With the rapid development of science and technology and social economy, while the number of cars in the world is increasing rapidly, vicious road traffic accidents are also increasing simultaneously. According to the statistical analysis of traffic accidents in European and American countries, it is shown that among numerous traffic accidents, 80% to 90% are caused by driver's human factors, and fatigue driving is the "first killer" most likely to cause major traffic accidents. According to statistics from the National Highway Traffic Safety Administration of the United States, there are about 100,000 road traffic accidents in the United States each year due to drivers falling asleep while driving, of which about 1,500 directly lead to death and 71,000 accide...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06K9/46
Inventor 张家树张祖涛
Owner SOUTHWEST JIAOTONG UNIV
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