METHOD AND SYSTEM FOR AUDIENCE MEASUREMENT AND TARGETING MEDIA

• US 20090217315A1
• Filed: 02/26/2008
• Published: 08/27/2009
• Est. Priority Date: 02/26/2008
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: CognoVision Solutions, Inc. (Intel Corporation)
• Inventors: Mirza, Haroon Fayyaz, Malik, Shahzad Alam
• Application Number:
  US12/037,792
• Publication Number:
  US 20090217315A1
• Time in Patent Office: Days
• US Class Current: 725/9
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/30196 Human being; Person
• CPC Class Codes: G06T 2207/30201 Face
• CPC Class Codes: G06T 7/248 involving reference images or patches
• CPC Class Codes: G06V 20/00 Scenes; Scene-specific elements control of digital cameras H04N23/60
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: H04H 60/33 Arrangements for monitoring the users' behaviour or opinions
• CPC Class Codes: H04H 60/59 of video recognising characters or patterns in general G06F18/00, G06V20/00
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

An audience measurement and targeted media system and method provides media targeted to the attributes of a particular audience. The method and system may be undertaken as an anonymous process for detecting the presence of individuals in the vicinity of a display and detecting whether said individuals are viewing the display. For this purpose one or more cameras positioned and operable to establish audience attributes and detect audience movement. Attributes of the individuals may also be measured and utilized to rank media based on the attributes of individuals viewing the media on the display. The method and system can allow for media corresponding to the attributes of the audience to be displayed in real-time or near real-time, so as to cause media targeted to said audience to be displayed on the display. The method and system may further generate reports regarding the effectiveness of the display.

Claims

1. An audience measurement and targeted media system comprising:

(a) a display for the presentation of content or media;

(b) one or more cameras positioned and operable to capture images of targets in an area in the proximity of the display; and

(c) an audience analysis utility that analyzes the images or portions thereof captured by the one or more cameras by processing the images or image portions so as to establish correlations between two or more images or image portions, so as to detect audience movement in the area and establish one or more audience attributes.

2. An audience measurement and targeted media system of claim 1 wherein the one or more cameras are positioned and operable to capture:

(a) one or more images permitting detection of movement of the targets in the area; and

(b) one or more images permitting establishment of attributes for the targets.

3. An audience measurement and targeted media system of claim 2 wherein the attributes include interaction between the targets and the display.

4. An audience measurement and targeted media system of claim 1 wherein at least one of said one or more cameras is positioned overhead of the area in proximity of the display.

5. An audience measurement and targeted media system of claim 1 wherein at least one of said one or more cameras is positioned facing outward from the display.

6. An audience measurement and targeted media system of claim 1 wherein the display encompasses display segments whereby the display may present one or more media simultaneously.

7. An audience measurement and targeted media system of claim 1 wherein the audience analysis utility has the following capabilities:

(i) deriving information from the images of said one or more cameras;

(ii) establishing attributes of individuals viewing the content or media of the display using the derived information;

(iii) controlling the display; and

(iv) storing data in one or more of storage mediums.

8. An audience measurement and targeted media system of claim 7 wherein attributes of individuals include behavioural and demographic attributes.

9. An audience measurement and targeted media system of claim 7 wherein a visitor detection utility derives information from the images of the one or more cameras.

10. An audience measurement and targeted media system of claim 7 wherein a viewer detection utility is applied to establish attributes of individuals.

11. An audience measurement and targeted media system of claim 7 wherein a content delivery utility is applied to control the display.

12. An audience measurement and targeted media system of claim 7 wherein a business intelligence tool generates reports based upon data stored in the one or more storage mediums.

13. An audience measurement and targeted media system of claim 1 wherein the audience analysis utility measures the effectiveness of the display device.

14. An audience measurement and targeted media system of claim 7 wherein the one or more storage mediums is a database.

15. An audience measurement and targeted media system of claim 1 wherein the audience analysis utility anonymously detects audience data.

16. An audience measurement and targeted media system of claim 1 wherein the audience analysis utility function in real-time or near real-time.

17. An audience measurement and targeted media system of claim 1 wherein the audience analysis utility detects the behavioural and demographic attributes of individuals appearing in images captured by the one or more cameras, as well as the movement of individuals therein, and the attributes of individuals are processed to represent audience attributes when the attributes of individuals within an audience are averaged against those of the other members of an audience and audience attributes are understood to represent an audience reaction to the media or content of the display.

18. A method of targeting media based on an audience measurement comprising the steps of:

(a) capturing images by way of one or more cameras of an audience within an audience area in proximity to a display;

(b) processing the images to identify individuals within the audience;

(c) analyzing the individuals to establish attributes;

(d) corresponding the established attributes to a media presented on the display at the time of the capture of the image; and

(e) tailoring media presented on a display to the attributes of an audience in the audience area.

19. A method of targeting media based on an audience measurement of claim 18 further including the step of identifying behavioural and demographic attributes as attributes of individuals.

20. A method of targeting media based on an audience measurement of claim 18 further including the step of storing data collected in one or more storage mediums.

21. A method of targeting media based on an audience measurement of claim 18 further comprising the steps of:

(a) applying a visitor detection utility to identify individuals;

(b) applying a viewer detection utility to establish attributes;

(c) applying a content delivery utility to correspond media on the display to established attributes of an audience; and

(d) applying a business intelligence tool to report the correspondence between media and the attributes of an audience.

22. A method of targeting media based on an audience measurement of claim 21 wherein applying the visitor detection utility comprises the further steps of:

(a) configuring the system including;

(i) defining regions of interest within an image;

(ii) defining a first threshold representing an image subtraction and a second threshold representing the maximum distance that a cluster can move between two images;

(iii) setting an accumulation period.

(b) creating a background image from multiple sequential images of the one or more cameras to represent the view of the camera without an audience therein during a training phase;

(c) processing images to identify individuals within an audience shown in the image.

23. A method of targeting media based on an audience measurement of claim 22 further including the step of defining a first and second thresholds utilizing pixel measurements.

24. A method of targeting media based on an audience measurement of claim 18 further including the step of storing data collected during each step in one or more storage mediums.

25. A method of targeting media based on an audience measurement of claim 21 the step of applying the viewer detection utility comprises the further steps of:

(a) establishing corresponding points in images of one or more cameras to identify the transformation between the cameras;

(b) establishing attributes of individuals through identifying faces of individuals;

(c) storing data collected during each step in one or more storage mediums.

26. A method of targeting media based on an audience measurement of claim 25 wherein establishing attributes of individuals may include demographic attributes and behaviour attributes.

27. A method of targeting media based on an audience measurement of claim 21 the applying the content delivery utility comprises the further steps of:

(a) aggregating audience attributes corresponding to media to create media attributes including creating and storing media meta tags;

(b) scoring media so that it is ordered in accordance with desired viewing levels relating audience and media attributes; and

(c) delivering media to a display for presentation thereon in either a playlist mode or a targeted media mode.

28. A method of targeting media based on an audience measurement of claim 21 the applying the business intelligence utility includes the further step of generating reports detailing the attributes of audiences in relation to media attributes.

29. A method of targeting media based on an audience measurement of claim 21 further including the step of presenting media on a display tailored to the attributes of an audience in the audience area in real-time or near real-time.

30. An audience measurement and targeted media system comprising:

(a) a display for the presentation of content or media;

(b) two or more cameras for capturing images of an audience area in the proximity of the display including;

(i) a first camera positioned overhead of the audience area;

(ii) a second camera positioned facing outward from the display.

(c) a computer having data processor capabilities including;

(i) a processor for deriving information from the images of said one or more cameras;

(ii) a processor for establishing attributes of individuals viewing the content or media of the display using the derived information; and

(iii) a processor for controlling, the display.

31. An audience measurement and targeted media system of claim 30 wherein attributes of individuals include behavioural and demographic attributes.

32. An audience measurement and targeted media system of claim 30 wherein one or more storage mediums are utilized to for the storage of data, including audience attributes.

33. An audience measurement and targeted media system of claim 30 wherein the display encompasses display segments whereby the display may present one or more media simultaneously.

34. An audience measurement and targeted media system of claim 30 wherein a visitor detection utility is applied to process images of the one or more cameras.

35. An audience measurement and targeted media system of claim 30 wherein a viewer detection utility is applied to ascertain responses of individuals to the display.

36. An audience measurement and targeted media system of claim 30 wherein a content delivery utility is applied to control the display.

37. An audience measurement and targeted media system of claims 30 wherein a business intelligence tool generates reports based upon data stored in one or more storage mediums.

38. A method of targeting media based on an audience measurement comprising the steps of:

(a) positioning in proximity to a display a first camera overhead of an audience area;

(b) positioning a second camera forward facing outwardly from the display to capture images of an audience area;

(c) capturing images by way the first and second cameras;

(d) processing the images to identify individuals within the audience;

(e) analyzing the individuals to establish audience attributes;

(f) corresponding the established audience attributes to media presented on the display at the time of the capture of the image; and

(g) tailoring media presented on a display to the attributes of an audience in the audience area in real-time.