Demographic classification using image components
First Claim
1. A system for extracting demographic information using facial components comprising;
- a) means for detecting one or a plurality of face images from one or a plurality of input images,b) means for detecting facial components in the face images,c) means for extracting one or a plurality of facial component features from the facial components,d) means for automatically generating component information from the facial component features and the facial components, ande) means for processing the component information using classifiers including data level fusion classifiers and hierarchical fusion classifiers for demographic information identification,wherein the data level fusion classifiers concatenate preprocessed component information into a single vector,wherein the hierarchical fusion classifiers process results from component demographic classifiers,wherein the preprocessed component information from each component is preprocessed differently from each other to improve the accuracy of each component demographic classifier,wherein the demographic information comprises age, gender, or ethnicity,whereby said facial components are defined as artifacts that are individual parts of which a composite entity is made up, andwhereby the input images are acquired from an image sensing device or internet.
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Abstract
The present invention includes a system and method for automatically extracting the demographic information from images. The system detects the face in an image, locates different components, extracts component features, and then classifies the components to identify the age, gender, or ethnicity of the person(s) in the image. Using components for demographic classification gives better results as compared to currently known techniques. Moreover, the described system and technique can be used to extract demographic information in more robust manner than currently known methods, in environments where high degree of variability in size, shape, color, texture, pose, and occlusion exists. This invention also performs classifier fusion using Data Level fusion and Multi-level classification for fusing results of various component demographic classifiers. Besides use as an automated data collection system wherein given the necessary facial information as the data, the demographic category of the person is determined automatically, the system could also be used for targeting of the advertisements, surveillance, human computer interaction, security enhancements, immersive computer games and improving user interfaces based on demographic information.
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Citations
12 Claims
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1. A system for extracting demographic information using facial components comprising;
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a) means for detecting one or a plurality of face images from one or a plurality of input images, b) means for detecting facial components in the face images, c) means for extracting one or a plurality of facial component features from the facial components, d) means for automatically generating component information from the facial component features and the facial components, and e) means for processing the component information using classifiers including data level fusion classifiers and hierarchical fusion classifiers for demographic information identification, wherein the data level fusion classifiers concatenate preprocessed component information into a single vector, wherein the hierarchical fusion classifiers process results from component demographic classifiers, wherein the preprocessed component information from each component is preprocessed differently from each other to improve the accuracy of each component demographic classifier, wherein the demographic information comprises age, gender, or ethnicity, whereby said facial components are defined as artifacts that are individual parts of which a composite entity is made up, and whereby the input images are acquired from an image sensing device or internet. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for extracting demographic information using facial components comprising steps of;
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a) detecting one or a plurality of face images from one or a plurality of input images, b) detecting facial components in the face images, c) extracting one or a plurality of facial component features from the facial components, d) automatically generating component information from the facial component features and the facial components, and e) processing the component information using classifiers including data level fusion classifiers and hierarchical fusion classifiers for demographic information identification, wherein the data level fusion classifiers concatenate preprocessed component information into a single vector, wherein the hierarchical fusion classifiers process results from component demographic classifiers, wherein the preprocessed component information from each component is preprocessed differently from each other to improve the accuracy of each component demographic classifier, wherein the demographic information comprises age, gender, or ethnicity, whereby said facial components are defined as artifacts that are individual parts of which a composite entity is made up, and whereby the input images are acquired from an image sensing device or internet. - View Dependent Claims (8, 9, 10, 11, 12)
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Specification