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Human age automatic estimation method based on posterior probability neural network

A technique of neural network and posterior probability, applied in computing, computer components, instruments, etc., can solve the problems that the range of the interval cannot be fixed, cannot give one, and is unsupervised, and achieve the effect of alleviating insufficient data

Inactive Publication Date: 2014-07-02
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

Sarajedini proposed a neural network that can directly output posterior probability, but his neural network is for continuous variables and is an unsupervised learning algorithm
[0006] The existing age estimation algorithm mainly has the following two shortcomings: 1. It cannot make full use of the data in the database; 2. It cannot give an age and an age group at the same time
At the same time, the range of the interval in the algorithm of outputting the age interval is fixed and cannot be changed according to the actual age

Method used

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  • Human age automatic estimation method based on posterior probability neural network
  • Human age automatic estimation method based on posterior probability neural network
  • Human age automatic estimation method based on posterior probability neural network

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Embodiment Construction

[0021] This method is mainly based on the posterior probabilistic neural network. However, some problems will arise when applying the original posterior probability neural network to the problem of age estimation. There are mainly three reasons: 1. The existing face image database has a small number of data, and the original posterior probability neural network needs a large amount of training data; 2. The original posterior probability neural network is mainly Solve the probability estimation problem of continuous variables. In the age estimation problem, age is a discrete variable. We extend it to discrete variables and give the corresponding training algorithm; 3. The original posterior probability neural network The network uses a relatively simple weight update algorithm, which often fails to converge the network in solving the problem of age estimation. These improvements and innovations will be introduced in detail below.

[0022] 1. We changed the original neural net...

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Abstract

The invention discloses a human age automatic estimation method based on a posterior probability neural network, which comprises a training stage and an application stage, wherein the training stage comprises the following steps of: obtaining a face image; extracting a feature from the face image by using an appearance model; generating age distribution corresponding to the face image; taking distribution of the obtained feature and the face image with respect to age as an input, and training the posterior probability neural network; obtaining a model after the training is ended and inputting the model to the next stage. The application stage comprises the following steps of: obtaining a face image to be estimated; extracting the feature from face image by using the appearance model; inputting the obtained feature into a model obtained in the training stage; obtaining distribution of the face image corresponding to the age through the calculation of the model, and taking the age capable of taking the maximum value in the distribution as the age estimated by the system.

Description

technical field [0001] The invention relates to a method for automatically estimating human age by computer. technical background [0002] Age estimation is a basic ability of human beings. With the development of information technology, more and more applications require computers to have the ability to estimate human age. The estimation of human age by computer mainly goes through the following steps. The image of the face is captured by a camera or a camera, and the features of the face image are extracted through some feature extraction algorithms and output to a trained model, and the estimated age can be obtained after processing the model. [0003] The application of age estimation has been on the rise in recent years, such as age-based human-computer interaction systems; age-based access control systems; e-commerce; criminal investigation and so on. The human-computer interaction system based on automatic age estimation is an automatic estimation algorithm of human...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 耿新尹超
Owner SOUTHEAST UNIV
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