Particle filtering-based pupil tracking method in sight tracking system

A line-of-sight tracking and particle filter technology, applied in the field of human-computer interaction, can solve the problems of strict measurement error, system filtering error, and low efficiency, and achieve the effect of improving stability and accuracy and reducing interference

Inactive Publication Date: 2010-04-28
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

But doing so has the following two problems: (a) each time the pupil is searched in the entire image, the efficiency is low, the time is long, and the real-time performance of the system is affected
[0008] The Kalman filter method approximates the nonlinear motion o

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  • Particle filtering-based pupil tracking method in sight tracking system
  • Particle filtering-based pupil tracking method in sight tracking system
  • Particle filtering-based pupil tracking method in sight tracking system

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[0025] The specific implementation process of the present invention will be further described below with reference to the accompanying drawings.

[0026] The invention provides a particle filter pupil tracking algorithm based on a pseudo-color image. The innovations of the work are mainly reflected in the following aspects: (a) Aiming at the phenomenon of bright and dark pupils, the concept of three-channel pseudo-color map (TCPCM) is proposed and introduced into the pupil tracking process. (b) Propose a pupil target model that conforms to the pupil morphological characteristics and changing laws. (c) Propose a state transition equation that reflects the law of pupil movement.

[0027] 1. Feature parameter extraction

[0028] First determine the bright pupil and dark pupil images, by controlling the light source, alternately bright and dark, to generate a video sequence in which the bright pupil and the dark pupil alternately appear every frame, after obtaining two adjacent fr...

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Abstract

The invention discloses a particle filtering-based pupil tracking method in a sight tracking system and belongs to the field of human-computer interaction. Aiming at a problem that the pupil tracking efficiency in the conventional infrared image is poor, the method creates a concept of a tri-channel pseudo color image (TCPCM) which fully uses information of each channel, enables the characteristics of a pupil to be obvious, and improves the stability and the accuracy of tracking. Aiming at a problem that a background interferes in a pupil tracking process, the method creates a pupil object model which accords with the morphological characteristics and change rules of the pupil to fully differentiate the front background from the back background so as to decrease the interference of the background to the object model. Aiming at a problem that the prediction effect of the position and the form of the pupil is poor, the method creates a state transition equation embodying the motion rules of the pupil, fully considers various conditions of the state change of the pupil and can effectively predict the position and shape of the pupil. Through high-quality characteristic detection and tracking, the method enables the precision of a developed sight tracking system to reach a level of real-time human-computer interaction.

Description

technical field [0001] A pupil tracking method based on a particle filter in a gaze tracking system belongs to the field of human-computer interaction, and in particular relates to a face feature detection and tracking method in a human-computer interaction system. Background technique [0002] Gaze tracking technology is a technology that uses mechanical, electronic, optical and other detection methods to obtain the current "gaze direction" of the subject. According to the system composition and detection methods used, it can be roughly divided into two types: invasive and non-invasive. It has a wide range of applications in the fields of human-computer interaction and disease diagnosis, such as disability assistance, virtual reality, cognitive impairment diagnosis, vehicle assisted driving, human factor analysis, etc. Gaze-tracking systems for diagnostics can be invasive for greater precision. In addition to the accuracy, robustness, and real-time requirements of the eye-...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 王志良迟建男张闯张鹏翼张琼常宁胡涛
Owner UNIV OF SCI & TECH BEIJING
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