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Method for extracting age characteristics under complex environment

An extraction method and complex environment technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of calculation data errors, poor reliability, slow extraction speed, etc., and achieve the effect of reliable data

Inactive Publication Date: 2012-03-07
CHANGZHOU LENCITY INFORMATION TECH
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AI Technical Summary

Problems solved by technology

[0003] At present, the age feature extraction method used is slow in extraction speed, poor in reliability, and incomplete in information extraction, which may easily cause errors in subsequent calculation data

Method used

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Experimental program
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Embodiment Construction

[0012] The extraction method of age feature under complex environment of the present invention comprises the extraction of age feature, and its specific steps are as follows:

[0013] a. Extract various features such as human face, skin color, hairstyle, decoration, etc. For human faces, select the left and right eyes, nose and mouth with strong discrimination ability as local areas to reduce computational complexity to a certain extent and calibrate features Segment the left and right eyes, nose and mouth area of ​​the face;

[0014] b. Use the linear discriminant method to extract the features of the human body detected by training, and use the Fisher method to extract the features of the training samples and target images;

[0015] c. Use the dynamic clustering method to classify the target image, and calculate the average recognition rate of a single classifier;

[0016] d. Use the training samples of different age groups (old, middle, young, young, etc.) to train the SVR...

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Abstract

The invention relates to a method for extracting age characteristics under a complex environment and comprises extraction of the age characteristics. The method comprises the following steps: a. extracting the characteristics of a human face, a skin color, a hair style and a decoration of a human body; b. extracting the trained and detected human body characteristics through a linear discrimination method, and using a Fisher method to extract the characteristics of training samples and object images; c. classifying the object images through a dynamic clustering method and calculating an average recognition rate of a single classifier; d. training a support vector regression machine through the different age training samples so as to obtain a group of parameter values; e. comparing classification accuracies of various kinds of fusion rules and the different fusion rules. By using the method for extracting the age characteristics under the complex environment, the extraction of a plurality of characteristics of people can be achieved. Multiaspect information extraction can be realized. Comprehensiveness of the information extraction can be achieved, which provides reliable data for subsequent calculation.

Description

technical field [0001] The invention relates to the field of biotechnology, in particular to a method for extracting age features in complex environments. Background technique [0002] At the 13th Embedded System Technology Development Conference held in May 2010, Intel Japan displayed a vending machine with digital signage. Its built-in camera module can identify the presence or absence of users, the gender and age of users based on images. layers and so on. The front of the machine is equipped with a large-screen LCD with touch function, which can display recommended products according to the user's gender and age group. At the same time, NEC Electronics also released an audience feature recognition and determination program for digital signage. Digital users can use its hair color and hearing characteristics to determine the age group of the audience, and the error is basically no more than 10 years old. . Merchants can use this to tailor the displayed digital content ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 吴军余人强刘华平吴智君
Owner CHANGZHOU LENCITY INFORMATION TECH
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