Classification of humans into multiple age categories from digital images
First Claim
1. A method for extracting the multi-class age category information of a person from his or her facial image comprising the steps of;
- a) acquiring a digital image,b) applying a face extraction process to extract a face region of said person from said digital image,c) processing said face region to extract face features, andd) processing said face features obtained from said face region using a tree of binary classification systems to determine the multi-class age category,whereby said face region is the collection of digital image pixels that encompass the face of said person in said digital image,whereby said face features are a representation of said face region as direct pixel information or any representations obtained by transformation into other spaces by algebraic manipulation, andwhereby the multi-class age categories can be any partition of the entire age spectrum into any number of groups.
17 Assignments
0 Petitions
Accused Products
Abstract
The present invention includes a method and system for automatically extracting the multi-class age category information of a person from digital images. The system detects the face of the person(s) in an image, extracts features from the face(s), and then classifies into one of the multiple age categories. Using appearance information from the entire face gives better results as compared to currently known techniques. Moreover, the described technique can be used to extract age category information in more robust manner than currently known methods, in environments with a high degree of variability in illumination, pose and presence of occlusion. Besides use as an automated data collection system wherein given the necessary facial information as the data, the age category of the person is determined automatically, the method could also be used for targeting certain age-groups in advertisements, surveillance, human computer interaction, security enhancements and immersive computer games.
146 Citations
13 Claims
-
1. A method for extracting the multi-class age category information of a person from his or her facial image comprising the steps of;
-
a) acquiring a digital image, b) applying a face extraction process to extract a face region of said person from said digital image, c) processing said face region to extract face features, and d) processing said face features obtained from said face region using a tree of binary classification systems to determine the multi-class age category, whereby said face region is the collection of digital image pixels that encompass the face of said person in said digital image, whereby said face features are a representation of said face region as direct pixel information or any representations obtained by transformation into other spaces by algebraic manipulation, and whereby the multi-class age categories can be any partition of the entire age spectrum into any number of groups. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
-
-
10. A system for extracting the multi-class age category information of a person from his or her facial image comprising;
-
a) means for acquiring a digital image, b) means for applying a face extraction process to extract a face region of said person from said digital image, c) means for processing said face region to extract face features, and d) means for processing said face features obtained from said face region using a tree of binary classification systems to determine the multi-class age category. - View Dependent Claims (11, 12, 13)
-
Specification