Non-contact sight-line tracking method based on self-adaptive calibration

A non-contact, eye-tracking technology, which is applied in the field of non-contact eye-tracking technology, can solve problems such as excessive posture restrictions, inaccurate pupil extraction, inaccurate positioning of human gaze coordinates, etc., and achieve the effect of improving accuracy

Active Publication Date: 2014-04-30
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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AI Technical Summary

Problems solved by technology

[0005] Aiming at the inaccurate extraction of pupils, inaccurate positioning of gaze coordinates of human eyes, and excessive restrictions on postures of the existing eye-tracking

Method used

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  • Non-contact sight-line tracking method based on self-adaptive calibration
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  • Non-contact sight-line tracking method based on self-adaptive calibration

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Embodiment Construction

[0060] The present invention will be further described below in conjunction with the accompanying drawings.

[0061] Aiming at the deficiencies of the existing visual tracking technology, such as complex equipment, excessive restrictions on posture, special equipment on the head, low precision and slow efficiency, etc., on the basis of previous inventions, a vision tracking technology is proposed. The new method uses five near-infrared lamps as the light source reflected by the cornea. This method does not require any head-mounted equipment, and can adapt to the natural movement of the head. The accuracy of the gaze position calculated by the designed method is relatively high. Use the gray distribution of the image to quickly locate the human eye. A spot feature extraction method combining BFS algorithm, image geometric features and gray features is proposed, which can accurately match the spot with the corresponding light source. Using the edge detection operator and the l...

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Abstract

The invention provides a non-contact sight-line tracking method based on self-adaptive calibration. A light spot characteristic extracting method combining the BFS algorithm, image geometric features and gray features is used for accurately matching light spots with corresponding light sources; by means of a fitting method comprising the steps that circular fitting is conducted through a one-dimension edge detection operator and least square ellipse fitting, and noisy points are removed until the center of an ellipse is fixed, the accurate centers of pupils are obtained finally. Besides, a dynamically self-adaptive calibration is provided, and existing space mapping model precision is improved effectively.

Description

technical field [0001] The invention belongs to a tracking method in the field of computer vision, and mainly relates to a non-contact line of sight tracking technology based on self-adaptive calibration. Background technique [0002] Humans are a species that is highly dependent on vision. Calculating people's gaze points can produce various applications, including psychology, industrial engineering, commercial advertising, and so on. For example, visual tracking technology can be used to: [0003] 1) Attention analysis. Analyze the web content that users are most interested in, discover the interests of infants and young children during their growth, and so on. [0004] 2) Human-computer interaction. Human eyes can be used instead of hands to perform various operations, such as assisting the disabled, assisting driving, controlling smart home appliances, turning web pages and PPT pages, etc. The penetration of visual tracking technology into people's lives will have a ...

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Application Information

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IPC IPC(8): G06K9/36G06K9/00
Inventor 王轩韩楷张自力于成龙李鑫鑫张加佳刘猛赵海楠李晔漆舒汉关键张江涛刘博
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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