Adaptive facial recognition system and method

• US 20020136433A1
• Filed: 03/26/2001
• Published: 09/26/2002
• Est. Priority Date: 03/26/2001
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Lin, Yun-Ting
• Application Number:
  US09/817,108
• Publication Number:
  US 20020136433A1
• Time in Patent Office: Days
• US Class Current: 382/118
• CPC Class Codes: G06V 40/173 face re-identification, e.g. recognising unknown faces across different face tracks

Abstract

An adaptive face recognition system and method. The system includes a database configured to store a plurality of face classes; an image capturing system for capturing images; a detection system, wherein the detection system detects face images by comparing captured images with a generic face image; a search engine for determining if a detected face image belongs to one of a plurality of known face class; and a system for generating a new face class for the detected face image if the search engine determines that the detected face image does not belong to one of the known face classes. In the event that the search engine determines that the detected face image belongs to one of the known face classes, an adaptive training system adds the detected face to the associated face class.

Claims

1. An adaptive face recognition system, comprising:

a database configured to store a plurality of face classes;

an image capturing system for capturing images;

a detection system, wherein the detection system detects face images by comparing captured images with a generic face image;

a search engine for determining if a detected face image belongs to one of a plurality of known face classes; and

a system for generating a new face class for the detected face image if the search engine determines that the detected face image does not belong to one of the known face classes.

2. The adaptive face recognition system of claim 1, further comprising an adaptive training system that adds the detected face to an associated face class when the search engine determines that the detected image belongs to one of the known face classes.

3. The adaptive face recognition system of claim 2, wherein the adaptive training system adds the detected face using a sequential eigen decomposition.

4. The adaptive face recognition system of claim 1, wherein the image capturing system comprises:

a video camera; and

a face tracking system that causes the video camera to following a face.

5. The adaptive face recognition system of claim 1, wherein the generic face image is represented by a set of eigentemplates.

6. The adaptive face recognition system of claim 1, wherein the detection system utilizes a distance criterion to determine if the detected face belongs to one of the known face classes.

7. The adaptive face recognition system of claim 1, further comprising a control system for controlling access to user applications.

8. The adaptive face recognition system of claim 7, wherein the control system controls access based on an identification of one of the face classes by the search engine.

9. The adaptive face recognition system of claim 7, wherein the control system includes an administrative interface for labeling face classes and providing access to reports regarding usage of user applications.

10. A method for performing adaptive face recognition, comprising the steps of:

capturing a stream of image data;

identifying a face image from the stream of image data by comparing the image data to a generic face image;

searching a database of face classes to determine if the detected face image belongs to one of a plurality of known face classes;

if the detected face image belongs to one of the known face classes, adding the detected face image to the face class that owns the face image; and

if the face image does not belong to one of the known face classes, creating a new face class with the face image.

11. The method of claim 10, comprising the further steps of:

tracking the detected face image;

capturing additional views of the detected face image; and

adding additional views of the detected face image to the face class that owns the detected face image.

12. The method of claim 10, wherein the step of searching the database of face classes includes the step of using a distance criterion to determine if the detected face image belongs one of the known face classes.

13. The method of claim 10, comprising the further step of controlling access to an application based on the face class of the detected face image.

15. The program product of claim 14, wherein the system for adding the detected face image adds the detected face using a sequential eigen decomposition.

16. The program product of claim 14, further comprising a face tracking system that causes a video camera to track the detected face.

17. The program product of claim 14, wherein the system for adding the detected face image further comprising a selection system that selects only acceptable face images for adding to the associated face class.

18. The program product of claim 14, wherein the detection system utilizes a distance criterion to determine if the detected face belongs to one of the known face classes.

19. The program product of claim 14, further comprising a control system for controlling access to user applications.

20. The program product of claim 19, wherein the control system controls access based on an identification of one of the face classes by the search engine.

14. A program product stored on a recordable medium for performing adaptive face recognition, that when executed, comprises:

a system for receiving image data;

a system for detecting a face image from the received images by comparing the image data to a generic face image;

a system for searching a database of face classes to determine if a detected face image belongs to one of a plurality of known face classes;

a system for adding the detected face image to an associated face class if the detected face image belongs to one of the known face classes; and

a system for creating a new face class with the detected face image if the detected face image does not belong to one of the known face classes.