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Method for analyzing facial expressions on basis of motion tracking

A technology of facial expressions and analysis methods, applied in image analysis, computer components, image data processing, etc., can solve problems such as lack of solutions, and achieve the effects of fine motion tracking, improved efficiency, and improved performance

Inactive Publication Date: 2010-07-14
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0006] In terms of practicality, the existing technology still lacks a complete and effective solution for the combination of face detection and positioning, face tracking and expression analysis.

Method used

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  • Method for analyzing facial expressions on basis of motion tracking
  • Method for analyzing facial expressions on basis of motion tracking
  • Method for analyzing facial expressions on basis of motion tracking

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Embodiment Construction

[0037] The present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0038] See figure 1 , a kind of automatic facial expression analysis method based on motion tracking provided by the present invention is implemented according to the following steps:

[0039] (1) Using the automatic face detection and positioning algorithm to detect and locate the face and key points of the face on the input video image, determine the position of the face and realize the normalization of the face. The face detection method uses a face classifier combined with Adaboost and Cascade, and the face key point location uses the AAM (Active Appearance Model) method. Using 320×240 color video images as input, the total time to complete a face detection and face key point location is less than 100ms...

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Abstract

The invention relates to a method for analyzing facial expressions on the basis of motion tracking, in particular to a technique for face multi-feature tracking and expression recognition. The method comprises the following steps: pre-processing an inputted video image, and carrying out the face detection and face principle point location to determine and normalize the position of the face; modeling the face and expressions by using a three-dimensional parametric face mesh model, extracting the robust features and tracking the positions, gestures and expressions of the face in the inputted video image by combining the online learning method, so as to achieve the rapid and effective face multi-feature tracking; and taking the tracked expression parameters as the features for expression analysis; and carrying out the expression analysis by using an improved fuzzy clustering algorithm based on Gaussian distance measurement, so as to provide the fuzzy description of the expression.

Description

technical field [0001] The invention relates to the technical field of image processing and pattern recognition, in particular to the technical method of human face multi-feature tracking and expression recognition. Background technique [0002] The human face is a rich and powerful source of interpersonal communication information in human behavior. Facial expressions contain rich human behavior information, and the study of them can further understand the corresponding psychological state of human beings. Facial expressions also play a very important role in interpersonal and non-verbal communication. Emoticons can fill in the gaps in verbal communication, and can also convey complete thoughts on their own. If computers and robots can understand and express emotions like humans, and can adapt to the environment autonomously, this will fundamentally change the relationship between humans and computers, and enable computers to serve humans better. To utilize the informati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/00
Inventor 王阳生汪晓妍周晓旭冯雪涛周明才
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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