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Pupil positioning and tracking method

A pupil positioning and pupil technology, applied in the field of positioning and tracking, can solve the problems of low tracking accuracy, limited application range, and slow tracking speed, and achieve the effects of high tracking accuracy, wide application range, and improved tracking accuracy

Active Publication Date: 2016-11-16
CHONGQING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0004] (1) The pupil tracking image processing algorithm is to process the human eye image, and its application range is not large;
[0005] (2) The pupil tracking method is to position each frame image independently, and the calculation speed is slow
[0006] Another example is the "Pupil Position Filtering Method Based on Motion Correlation" described in CN 103810472A. This method uses the template matching method for pupil tracking, which has the problems of low tracking accuracy and slow tracking speed.

Method used

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  • Pupil positioning and tracking method

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with accompanying drawing.

[0047] Such as figure 1 The pupil positioning and tracking method shown includes the following steps:

[0048] Step 1. Collect data:

[0049] Use the video acquisition sensor to collect face video information.

[0050] A distance sensor is used to collect video to collect distance information between the sensor and the pupil.

[0051] Step 2, pupil positioning:

[0052] Use the adaboost algorithm to roughly detect the human eyes on the collected face video information, and detect the human eye area.

[0053] Use the canny algorithm to detect the edge of the human eye area to get the edge of the pupil.

[0054] The center of the pupil is obtained by using Hough transform to detect the center of the circle.

[0055] Step 3, pupil tracking based on the improved MeanShift algorithm of frame difference method and LBP:

[0056] The result of pupil location is used as the t...

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Abstract

The invention discloses a pupil positioning and tracking method, which comprises the steps of: data acquisition, wherein human face video information is acquired by means of a video acquisition sensor, and distance information between the video acquisition sensor and pupils is acquired by means of a distance sensor; pupil positioning, wherein human eye rough detection is carried out on the acquired human face video information by adopting an adaboost algorithm, edge detection is carried out on a human eye region by adopting a canny algorithm, and a pupil center is obtained by adopting a method of detecting center of a circle by utilizing Hough transform; and pupil tracking based on a frame difference method and an improved MeanShift algorithm of LBP. The pupil positioning and tracking method is high in tracking precision.

Description

technical field [0001] The invention belongs to positioning and tracking technology, in particular to a pupil positioning and tracking method. Background technique [0002] With the rapid development of pattern recognition and computer vision technology, the research on real-time pupil detection and tracking technology is becoming more and more urgent in the fields of public security, traffic safety monitoring, medical treatment, and criminal investigation. At the same time, as the basis of face detection, recognition and tracking technology and its wide application prospects, its research value is obvious. [0003] "Pupillary tracking image processing method" as recorded in CN 104050667A, but this method has the following disadvantages: [0004] (1) The pupil tracking image processing algorithm is to process the human eye image, and its application range is not large; [0005] (2) The pupil tracking method locates each frame image independently, and the calculation speed ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/19
Inventor 余成波周永修
Owner CHONGQING UNIV OF TECH
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