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Facial expression recognition method based on video image sequence

A technology of facial expression recognition and video image, which is applied in the field of face recognition and can solve problems such as face misdetection

Inactive Publication Date: 2014-05-28
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, computer vision researchers have conducted a lot of research in these three aspects, but there are still problems in these three aspects that have not been well resolved, including face misdetection, robust expression recognition, etc.

Method used

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  • Facial expression recognition method based on video image sequence
  • Facial expression recognition method based on video image sequence
  • Facial expression recognition method based on video image sequence

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Embodiment Construction

[0062] The present invention will be further described below in conjunction with the accompanying drawings.

[0063] like figure 1 As shown, a kind of facial expression recognition method based on video image sequence provided by the invention comprises:

[0064] (1) Identity verification: capture images from a video, obtain user information in the video, and then perform identity verification by comparing with face training samples to determine the user expression database;

[0065] (2) Expression recognition: extract texture features from the video, obtain the key frame when the user’s expression level is maximized, compare the key frame image with the expression training samples in the user expression library determined in step (1), and finally output the expression The identified statistics.

[0066] The present invention will be further described below in conjunction with example:

[0067] (1) Identity verification

[0068] After the video information is received, the...

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Abstract

The invention discloses a facial expression recognition method based on a video image sequence, and relates to the field of face recognition. The method includes the following steps of (1) identity verification, wherein an image is captured from a video, user information in the video is obtained, then identity verification is carried out by comparing the user information with a facial training sample, and a user expression library is determined; (2) expression recognition, wherein texture feature extraction is carried out on the video, a key frame produced when the degree of a user expression is maximized is obtained, an image of the key frame is compared with the expression training sample in the user expression library determined in the step (1) to achieve the aim of recognizing the expression, and ultimately a statistic result of expression recognition is output. By means of texture characteristics, the key frame obtained in the video is analyzed, the user expression library is built so that the user expression can be recognized, interference can be effectively prohibited, calculation complexity is reduced and the recognition rate is improved.

Description

technical field [0001] The invention relates to the field of human face recognition, in particular to a method for recognizing human facial expressions based on video image sequences. Background technique [0002] Among the many biological characteristics, the human face is undoubtedly the most expressive part. In the face-to-face communication between people, the face, as the most direct medium of information transmission, plays an extremely important role. We can perceive the emotion of the face through analysis. In order to make computers have the same capabilities, face visual perception has become an important research topic in computer science fields such as human-computer interaction and security authentication. Among them, facial expression recognition is a comprehensive subject involving pattern recognition, image processing, artificial intelligence and other disciplines. The so-called facial expression recognition is to let the computer perform feature extraction...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/66
Inventor 徐平平谢怡芬吴秀华
Owner SOUTHEAST UNIV
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