BIOMETRIC FACIAL SURVEILLANCE SYSTEM

• US 20100157040A1
• Filed: 01/14/2007
• Published: 06/24/2010
• Est. Priority Date: 01/17/2006
• Status: Abandoned Application

• Current Assignee: Rafael Limited
• Original Assignee: Rafael - Armament Development Authority Ltd.
• Inventors: OFIR, Alon
• Application Number:
  US12/161,006
• Publication Number:
  US 20100157040A1
• Time in Patent Office: Days
• US Class Current: 348/77
• CPC Class Codes: G06F 18/254 of classification results, e.g. of results related to same input data
• CPC Class Codes: G06F 18/256 of results relating to different input data, e.g. multimodal recognition
• CPC Class Codes: G06V 10/809 of classification results, e.g. where the classifiers operate on the same input data
• CPC Class Codes: G06V 10/811 the classifiers operating on different input data, e.g. multi-modal recognition
• CPC Class Codes: G06V 40/169 Holistic features and representations, i.e. based on the facial image taken as a whole

Abstract

A biometric facial surveillance system comprise at least one independent, stand-alone biometric unit operative to acquire and process biometric parameters to provide a complete verification or identification of a person. In a preferred embodiment, each biometric unit includes a camera operative to provide a two dimensional (2D) video stream and a 3D pixel depth data stream, and at least one processing unit operative to process the 2D video stream and a 3D pixel depth data stream into biometric parameters that verify or identify the particular person. In alternative embodiments, a plurality of biometric units is connected to a biometric server and an applications server which provide management functions.

Claims

1. A biometric facial surveillance system comprising at least one independent, stand-alone biometric unit operative to acquire and process biometric parameters to provide a complete verification or identification of a person.

2. The system of claim 1, wherein each biometric omit includes:

a. a camera operative to provide a two dimensional (2D) video stream and a 3D pixel depth data stream, and

b. at least one processing unit operative to process the 2D video stream and the 3D pixel depth data stream into the biometric parameters.

3. The system of claim 2, wherein the at least one biometric unit includes two processing units, a first processing unit operative to provide at least two biometric templates based on at least two different biometric algorithms and a second processing unit operative to perform a face matching operation and a data fusion operation using the at least two biometric templates.

4. The system of claim 3, wherein the first processing unit includes:

i. a find face module operative to finds a face in a frame included in the camera streams;

ii. a 3D face creation module operative to create a 3D model of the face from inputs provided by the find face module and the 3D pixel depth data stream;

iii. a quality check module operative to provide a quality check on the 3D face model and to decide if it is a quality face;

iv. a face normalization module operative to normalized face data from the quality face;

v. a token image creation module operative to create token images from the normalized face data; and

vi. a plurality of template creation modules operative each to create a biometric template from the token image using a respective biometric algorithm, the biometric templates from the different template creation modules forming the analog video stream the token images

5. The system of claim 4, wherein the second processing unit includes:

i. a watch list database;

ii. a plurality of biometric matching engines that matches the plurality of template creation modules, each biometric engine operative to receive a respective biometric template and to conduct 1;

N searches against the watch list database, and

iii. a data fusion module operative to exchange information with the biometric matching engines and the watch database and to perform the data fusion operation,

whereby the data fusion operation provides requested verification or identification data.

6. The system of claim 4, wherein the second processing unit optionally includes a management module operative to manage data update and exchange operations between the biometric unit and external entities, and a communication module operative to facilitate communication between the management module and the external entities.

7. The system of claim 1, further including a biometric server operative to exchange biometric information with each biometric unit and to facilitate information exchange between different biometric units.

8. The system of claim 7, further comprising an applications server functionally connected to the biometric server and operative to perform a host of client functions.

9. A biometric facial surveillance system comprising at least one independent, stand-alone biometric unit operative to acquire and process biometric parameters to provide a complete verification or identification of a person, wherein each biometric unit includes:

a, a camera operative to acquire facial information on individuals in a crowd; and

b. at least one processing unit operative to process the acquired facial information into biometric parameters used to verify or identify a specific individual, wherein the processing unit includes a data fusion module operative to fuse data obtained from two different matching engines using two different biometric algorithms.

10. The system of claim 9, wherein the system includes a single biometric unit.

11. The system of claim 9, wherein the system includes a plurality of biometric units interacting through a biometric server.

12. The system of claim 11, wherein the biometric server is functionally connected to an applications server operative to perform a host of client functions.

13. A biometric facial surveillance system comprising a stand-alone biometric unit operative to acquire biometric facial information and to process this information into a match image using a plurality of different biometric algorithms, whereby the match image can be used in the identification or verification of an individual in real time.

14. The system of claim 13, wherein the biometric unit includes:

a. a camera operative to provide biometric facial information;

b. at least one processing unit operative to process the biometric facial information using the plurality of different biometric algorithms into a matching plurality of different biometric templates;

c. a plurality of matching engines, each engine operative to receive a respective biometric template, each engine operative to conduct 1;

N searches against a watch list database and to provide a respective matching engine output; and

d. a data fusion module operative to fuse the matching engine outputs with data obtained from a watch list in order to provide the match image.

15. The system of claim 13, wherein at least one of the biometric algorithms is generic.

16. The system of claim 13 wherein all the biometric algorithms are generic.

17. A method for obtaining real time identification or verification of a person based on biometric facial information, comprising the steps of

a. providing a stand-alone biometric unit;

and

b. operating the biometric unit to acquire biometric facial information and to process this information into a match image using a plurality of different biometric algorithms, whereby the match image can be used in the real time identification or verification.

18. The method of claim 17, wherein the step of providing a stand-alone biometric unit comprises providing a biometric unit that includes:

a. a camera operative to provide biometric facial information;

b. at least one processing unit operative to process the biometric facial information using the plurality of different biometric algorithms into a matching plurality of different biometric templates;

c. a plurality of matching engines, each engine operative to receive a respective biometric template, each engine operative to conduct 1;

N searches against a watch list database and to provide a respective matching engine output; and

d. a data fusion module operative to fuse the matching engine outputs with data obtained from a watch list in order to provide the match image.

19. The method of claim 17, wherein the using a plurality of different facial recognition algorithms includes using a plurality of different generic algorithms.

20. The method of claim 17, wherein the using a plurality of different facial recognition algorithms includes using a plurality of different algorithms of which at least one is generic.