Method and system for tagging an individual in a digital image

• US 10,216,980 B2
• Filed: 01/10/2018
• Issued: 02/26/2019
• Est. Priority Date: 09/28/2005
• Status: Active Grant

• Current Assignee: Motorola Solutions, Inc.
• Original Assignee: Avigilon Patent Holding 1 Corporation (Motorola Solutions, Inc.)
• Inventors: Myers, Charles A., Shah, Alex
• Primary Examiner(s): Ansari, Tahmina
• Application Number:
  US15/867,023
• Publication Number:
  US 20180181798A1
• Time in Patent Office: 412 Days
• Field of Search: None
• CPC Class Codes: G06V 40/168 Feature extraction; Face representation
• CPC Class Codes: G06V 40/171 Local features and components; Facial parts eye characteristics G06V40/18; Occluding parts, e.g. glasses; Geometrical relationships
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

A system and method for tagging an image of an individual in a plurality of photos is disclosed herein. A feature vector of an individual is used to analyze a set of photos on a social networking website such as www.facebook.com to determine if an image of the individual is present in a photo of the set of photos. Photos having an image of the individual are tagged preferably by listing a URL or URI for each of the photos in a database.

Claims

1. A system for tagging an image of an individual in a photo, the system comprising:

a server to support a web site; and

a data store accessible by the server and configured to store a plurality of sets of reference variables generated from a plurality of processed facial images of identified individuals, and

the server configured to;

generate, for each of the plurality of processed facial images, location information including a facial tilt angle;

receive a subject photo containing an unknown facial image of an individual;

generate a first set of variables from the unknown facial image;

determine a predicted identity of the unknown facial image based on a statistical comparison model that analyzes the first set of variables relative to at least some of the plurality of sets of reference variables;

transmit the predicted identity over a network to a computing device; and

receive perception feedback regarding the predicted identity from a user of the web site.

2. The system of claim 1 wherein the web site is a social networking web site.

3. The system of claim 1 wherein the computing device is a wireless computing device.

4. The system of claim 1 wherein the subject photo includes a URL or URI.

5. The system of claim 1 wherein the server is configured to update the statistical comparison model based at least in part on the perception feedback.