Obtaining person-specific images in a public venue

• US 20040008872A1
• Filed: 07/08/2003
• Published: 01/15/2004
• Est. Priority Date: 09/04/1996
• Status: Abandoned Application

• Current Assignee: Photonmotion, Inc.
• Original Assignee: Centerframe, LLC
• Inventors: Goldberg, David A.
• Application Number:
  US10/615,642
• Publication Number:
  US 20040008872A1
• Time in Patent Office: Days
• US Class Current: 382/115
• CPC Class Codes: G03D 15/001 Counting; Classifying; Marking
• CPC Class Codes: G06F 16/58 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/583 using metadata automatically derived from the content
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: G06V 40/179 metadata assisted face recognition
• CPC Class Codes: G07C 11/00 Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere
• CPC Class Codes: G07C 2011/02 related to amusement parks
• CPC Class Codes: G07C 2011/04 related to queuing systems
• CPC Class Codes: G07C 9/253 visually
• CPC Class Codes: G07F 17/00 Coin-freed apparatus for hiring articles; Coin-freed facilities or services
• CPC Class Codes: G07F 17/26 for printing, stamping, franking, typing or teleprinting apparatus ticket printing or the like apparatus G07F17/42
• CPC Class Codes: G11B 2220/2545 CDs
• CPC Class Codes: G11B 2220/90 Tape-like record carriers
• CPC Class Codes: G11B 27/024 on tapes G11B27/028, G11B27/029 take precedence
• CPC Class Codes: G11B 27/028 with computer assistance
• CPC Class Codes: G11B 27/031 Electronic editing of digitised analogue information signals, e.g. audio or video signals
• CPC Class Codes: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence
• CPC Class Codes: H04N 1/00127 Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture
• CPC Class Codes: H04N 1/00132 in a digital photofinishing system, i.e. a system where digital photographic images undergo typical photofinishing processing, e.g. printing ordering
• CPC Class Codes: H04N 1/00137 : Transmission
• CPC Class Codes: H04N 1/00143 : Ordering
• CPC Class Codes: H04N 1/00145 : from a remote location
• CPC Class Codes: H04N 1/00151 : with selective access
• CPC Class Codes: H04N 1/00167 : Processing or editing H04N1/00196 - H04N1/00201 take precedence
• CPC Class Codes: H04N 1/00172 : directly from a still digital camera or from a storage medium mounted in a still digital camera H04N1/0018 takes precedence
• CPC Class Codes: H04N 1/00188 : Printing, e.g. prints or reprints H04N1/0019, H04N1/00196 take precedence
• CPC Class Codes: H04N 1/0019 : on souvenir-type products or the like, e.g. T-shirts or mugs
• CPC Class Codes: H04N 1/00193 : to a portable storage medium, e.g. a read-writable compact disk
• CPC Class Codes: H04N 1/00209 : Transmitting or receiving image data, e.g. facsimile data, via a computer, e.g. using e-mail, a computer network, the internet, I-fax
• CPC Class Codes: H04N 1/00286 : with studio circuitry, devices or equipment, e.g. television cameras television studio circuitry, devices or equipment per se H04N5/222
• CPC Class Codes: H04N 1/00299 : with a television transmission apparatus, e.g. a videophone, a teletext system or a digital television system
• CPC Class Codes: H04N 1/00342 : with a radio frequency tag transmitter or receiver storage of additional information in an RFID tag attached to an image bearing paper sheet H04N1/32138
• CPC Class Codes: H04N 2201/3205 : of identification information, e.g. name or ID code H04N2201/3209 takes precedence

Abstract

Collecting images of a patron in an entertainment venue is performed by facial recognition of the patron'"'"'s face within the images, simplifying the storage and distribution of the images for a patron. In order to enhance the reliability of the facial recognition system, information about the patron that is not directly related, to most facial recognition systems, including clothes, height, other associated people, use of glasses and jewelry, disposition of facial hair, and more, can be used. Some of the characteristics used can be specific to a particular date or event, and which will not be more generally characteristic of the patron. The facial recognition system can also be used to identify the patron requesting images to be collected.

Claims

1. A method of capturing and distributing images of a patron in a venue, the method comprising the steps of:

capturing electronic visual images at the venue, in which the patron is represented in at least a subset of those images;

performing image analysis on the images in order to identify those images in which the patron is represented;

storing the captured electronic visual images in which the patron is represented in association with an electronic identifier of the patron;

retrieving for distribution visual images in which the patron is represented on the basis of the electronic identifier.

2. The method of claim 1, wherein the image analysis comprises facial recognition.

3. The method of claim 1, wherein the electronic identifier comprises information about facial characteristics of the patron.

4. The method of claim 1, wherein the step of image analysis utilizes non-permanent features of the patron selected from the group consisting of clothes colors, eyeglass presence, eyeglass colors, hair color, makeup color, jewelry, hat shape, hat color, and facial hair distribution.

5. The method of claim 4, wherein the electronic identifier includes information about the non-permanent features of the patron utilized in the step of image analysis.

6. The method of claim 1, wherein the step of image analysis utilizes the height of the patron.

7. The method of claim 1, wherein the step of image analysis utilizes the association of the patron with a second patron, in which the confidence that a patron is represented in a particular image is increased by the representation of the second patron in the same image.

8. A method of capturing and distributing images of a specific patron among many patrons in a venue, the method comprising the steps of:

capturing electronic visual images of many patrons at the venue, in which the specific patron is represented in at least a subset of those images;

performing image analysis on the captured images, resulting in a descriptor of at least one patron represented within each image, wherein the descriptor includes quantitative information about physical characteristics of the patron;

storing the captured electronic visual images in association with the quantitative descriptors of at least one patron represented within each image;

obtaining an electronic visual reference image of the specific patron;

performing a reference image analysis on the reference image, resulting in a quantitative descriptor of the specific patron;

retrieving for distribution visual images in which the patron is represented by comparing the descriptor of the specific patron with the descriptors associated with the stored images.

9. The method of claim 8, in which the image analysis comprises facial recognition.

10. The method of claim 9, in which the descriptors comprise principal components quantifiers.

11. The method of claim 8, in which the descriptors comprise information regarding non-permanent features of patrons selected from the group consisting of clothes colors, eyeglass presence, eyeglass colors, hair color, makeup color, jewelry, hat color, hat shape, and facial hair distribution.

12. The method of claim 8, including associating the specific patron with an associate patron, wherein representations of the specific patron and the associate patron are expected at greater than random frequency to be in the same image.

13. The method of claim 12, wherein the step of retrieving additionally comprises determining whether the representation of the specific patron is present in the same image as the representation of an associate patron.

14. The method of claim 12, wherein the representations of the associate patron is expected in greater than 10% of the images in which the representation of the specific patron occurs.

15. The method of claim 8, wherein the descriptor of the specific patron comprises information from descriptors from captured images containing a representation of the specific patron.

16. The method of claim 8, wherein the comparing comprises the computation of a confidence level that the specific patron is present in a stored image.

17. The method of claim 16, wherein the representation of the specific patron is determined to be in an image if the confidence level exceeds a predetermined threshold.

18. The method of claim 17, wherein if the confidence level is below the predetermined threshold, comparison of additional descriptors is performed that can result in an increase in the confidence level.

19. The method of claim 8, wherein the electronic visual reference image of the specific patron is obtained prior to the capturing of electronic visual images.

20. The method of claim 8, wherein the electronic visual reference image of the specific patron is obtained subsequent to the capturing of electronic visual images.

21. The method of claim 8, wherein the electronic visual reference image is obtained via an Internet transfer using a protocol selected from the group consisting of Simple Mail Transfer Protocol or Hypertext Transfer Protocol.