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Fatigue expression identifying method based on Gabor feature and sparse representation

A technology of sparse representation and expression recognition, applied in the field of image processing, to achieve the effect of convenient adjustment

Inactive Publication Date: 2017-10-10
GUANGDONG UNIV OF TECH
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Problems solved by technology

These manifestations of fatigue can lead to many negative effects

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  • Fatigue expression identifying method based on Gabor feature and sparse representation
  • Fatigue expression identifying method based on Gabor feature and sparse representation
  • Fatigue expression identifying method based on Gabor feature and sparse representation

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Embodiment Construction

[0021] Overcomplete dictionary construction:

[0022] Applying compressive sensing theory to image processing, how to effectively construct a sparse representation dictionary of image signals is extremely important, and the core principle of dictionary construction is that the atoms in the dictionary should describe the inherent structural characteristics of image data as completely as possible. In this paper, sparse representation is applied to facial fatigue expression features. The over-complete dictionary selects the training image sample set information that contains the information structure features contained in the test image as much as possible. Sparse representation means that the test image of fatigue expression is regarded as A linear combination of the training image set, by looking for the sparsest solution of the test image, extracts enough sparseness from the fatigue expression image and can effectively describe the internal structural characteristics of the fat...

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Abstract

Fast development of society means more white-collar workers are required and white-collar workers remain the mainstream of the labor force. However, the white-collar workers who live under such high pressure easily develop mental fatigue which often produces negative impact. Therefore, how to detect the fatigue level of a person becomes a hot topic in the field of image processing. According to the invention, the method herein aims at proposing a method which can use the sparse representation classification algorithm to increase the accuracy of identifying face fatigue expression in a low-resolution image. In order to effectively increase the capability of determining face fatigue expression in a low-resolution image and identifying performances, the method herein increases a fatigue expression identifying method based on Gabor feature and sparse representation. Further, in order to further reduce luminance and noise, and the impact on face fatigue expression fatigue by face subtle changes, the method combines feature extraction method and sparse representation which are often used in face expression identification of PCA, Gabor, and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a fatigue expression recognition method, which can be used for fatigue driving, detection of mental fatigue state, and supervision of fatigue leading to sub-health. Background technique [0002] With the acceleration of social development, mental work occupies the vast majority of the proportion. Under today's high-pressure life, it is easy to cause people's mental fatigue. Human fatigue can lead to a decrease in people's ability to work, mainly manifested in inattention, sluggishness, forgetfulness, dizziness, constant yawning, frequent blinking, etc. These manifestations of fatigue can lead to many negative effects. How to detect a person's fatigue level has become a hot issue in the field of image processing. [0003] Sparse coding is derived from neuroscience and is an artificial neural network method that simulates the simple cell receptive field in V1...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/174G06V40/168
Inventor 田小路张灵罗源朱思豪
Owner GUANGDONG UNIV OF TECH
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