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Eye movement tracking method on the basis of accurate iris positioning

A precise positioning and eye-tracking technology, which is applied in image data processing, instruments, character and pattern recognition, etc., can solve the late, Professor Fu Rui of Chang'an University and Xi'an Dianzi University conducted related research and other problems, and achieved The effect of eliminating noise interference

Inactive Publication Date: 2013-09-04
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

Relatively speaking, it started relatively late in China. Professor Fu Rui of Chang'an University and Xi'an Dianzi University have conducted related research. However, it still needs to be further improved in terms of precision, humanization and miniaturization.

Method used

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  • Eye movement tracking method on the basis of accurate iris positioning
  • Eye movement tracking method on the basis of accurate iris positioning
  • Eye movement tracking method on the basis of accurate iris positioning

Examples

Experimental program
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Embodiment Construction

[0056] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0057] The following is an example of the eye-tracking experiment of accurately positioning the iris under indoor conditions to specifically illustrate the present invention:

[0058] In this experiment, although it is under indoor conditions, it is a typical example of eye tracking based on precise positioning of the iris for situations such as severe lighting changes or camera shakes. The specific processing flow is as follows: image 3 As shown, the specific implementation steps are as follows:

[0059] Step 1: Input Video

[0060] The video input here can be a prepared video or a real-time video transmitted by the camera, process each frame of video, go to step 2;

[0061] Step 2: Load the face cascade classifier

[0062] The face cascade classifier here is a pre-trained face detector based on the AdaBoost algorithm, analyze a frame of im...

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Abstract

The invention discloses an eye movement tracking method on the basis of accurate iris positioning. The method mainly comprises a human face detection module, a human eye detection module, an eye movement tracking module and the like. A human face area is detected according to a detector based on the AdaBoost algorithm. A human eye is detected on the basis of human face area detection. An iris area is accurately located. A tracking template based on combined characteristics of target colors and edges is built up. The influence of saturability components is considered when the color characteristic template is built up. The condition that the iris can deform due to the fact that an eye is closed is considered in the tracking stage. Self-defined standards are used for judging, so that the tracking template is adjusted in a self-adapting mode. Consequently, eye movement tracking is finished. Compared with other methods, the method is higher in tracking speed, higher in tracking accuracy, and wide in application range, meets requirements for real-timeness, accuracy, and robustness, and has good application prospects in handheld mobile equipment.

Description

technical field [0001] The invention relates to a non-invasive eye movement tracking method based on precise iris positioning. In particular, it relates to a tracking template based on iris region color and edge joint features, and a method for completing eye movement tracking according to a self-defined judgment standard. It belongs to the field of computer vision information. Background technique [0002] Eyes are the windows of the soul, through which we can explore the laws of many human psychological activities. Human information processing relies heavily on vision, so the scientific research on "how people see things" has never stopped. In this regard, the study of eye movement is considered to be the most effective means of visual information processing. Eye tracking (Eye Tracking) mainly refers to the use of certain relatively invariant features as reference objects during eye movement, so as to obtain information such as the state of opening and closing of the ey...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/20
Inventor 郝宗波桑楠黄园刚江维
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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