Method And System For Facial And Object Recognition Using Metadata Heuristic Search

• US 20160224837A1
• Filed: 10/25/2013
• Published: 08/04/2016
• Est. Priority Date: 10/25/2013
• Status: Abandoned Application

• Current Assignee: Hyperlayer, Inc.
• Original Assignee: Hyperlayer, Inc.
• Inventors: Lipert, Dan, Andrews, Laura, Weinstein, William
• Application Number:
  US14/064,069
• Publication Number:
  US 20160224837A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: G06F 18/24 Classification techniques
• CPC Class Codes: G06V 10/764 using classification, e.g. of video objects
• CPC Class Codes: G06V 40/166 using acquisition arrangements
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: G06V 40/179 metadata assisted face recognition

Abstract

A method and system for real-time object and facial recognition is provided. Multiple video or camera data feeds are used to collect information about a location and transmitted to a distributed, web-based framework. The system is adaptive and compiles the metadata from the visual queries and stores the metadata and images in multiple relational databases. The metadata is used heuristically, wherein the rank-ordering of matching-candidates is neural; thereby, reducing the number of comparisons (object or face) needed for recognition, and increasing the speed of the recognition. Employing multiple, web-linked servers and databases improves recognition speed and removes the need for each user to create and maintain a facial recognition system, allowing users to consume and contribute to a vast pool of private or public, geo-located data.

Claims

1. A computer system for facial recognition comprising:

a processor; and

a non-transitory computer-readable medium storing computer-executable instructions that are configured, when executed by said processor to perform the operations of;

receive a visual query comprising image data;

detect faces within said image data;

extract metadata associated with said detected faces;

link and store said metadata and said image data containing said detected faces in at least one database;

use said metadata heuristically to rank-order said detected faces within said database;

run facial recognition algorithms;

determine a confidence score for said detected faces; and

return results based on said confidence score.

2. The computer system of claim 1 further comprising at a first camera and a second camera for transmitting said visual queries.

3. The computer system of claim 2 wherein said second camera is located remotely from said first camera.

4. The computer system of claim 1 wherein two or more databases are accessed and heuristically rank-ordered.

5. The computer system of claim 4 wherein at least one of said databases is private.

6. The computer system of claim 5 wherein said results include identifying said detected faces.

7. The computer system of claim 6 wherein said results are presented in real time.

8. The computer system of claim 1 wherein said computer system further detects objects.

9. A method for facial recognition comprising, by one or more computer systems:

receiving a visual query comprising image data associated with one or more primary users;

detecting faces within said image data;

detecting metadata associated with said image data;

linking and storing said metadata and said image containing said detected faces in at least one database;

accessing one or more databases to determine possible candidates matching said detected faces;

using said metadata heuristically to rank-order said possible candidates within said database;

running facial recognition algorithms;

determining a confidence score for said detected faces; and

returning results based on said confidence score.

10. The method of claim 9 wherein said metadata is obtained via running simultaneous localization and mapping algorithms and stored in said database.

11. The method of claim 9 wherein at least one of said accessed databases containing said possible candidates is a private database associated with said primary user.

12. The method of claim 9 wherein at least one of said accessed databases containing said possible candidates is a public database.

13. The method of claim 9 wherein said image data comprises frames from a video clip.

14. The method of claim 9 wherein said image data comprises image data from two or more remote locations.

15. The method of claim 9 wherein said results include identifying said detected faces.

16. The method of claim 15 wherein said results are presented in real time.

17. The method of claim 16 wherein said results are presented in augmented reality.

18. The method of claim 9 wherein said results are presented in a proprietary format required by said primary user.

19. The method of claim 9 wherein said image data is obtained from two independent organizations collaborating for a joint goal.

20. A method for object recognition comprising, by one or more computer systems:

receiving a visual query comprising image data associated with one or more primary users;

detecting an object within said image data;

detecting metadata associated with said image data;

linking and storing said metadata and said image containing said detected object in at least one database;

accessing one or more databases to determine possible candidates matching said detected object;

using said metadata heuristically to rank-order said possible candidates;

running object recognition algorithms;

determining a confidence score for said detected object; and

returning results based on said confidence score.