Video shopper tracking system and method

• US 20060010028A1
• Filed: 11/15/2004
• Published: 01/12/2006
• Est. Priority Date: 11/14/2003
• Status: Abandoned Application

• Current Assignee: Shopper Scientist LLC
• Original Assignee: Shopper Scientist LLC
• Inventors: Sorensen, Herb
• Application Number:
  US10/989,828
• Publication Number:
  US 20060010028A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration

Abstract

A system and method are provided for video tracking of shopper movements and behavior in a shopping environment. The method typically includes displaying on a computer screen of a computing device a video recording of a shopper captured by a video camera in a shopping environment. The method may further include, while the video is being displayed, receiving user input via user input device of the computing device, the user input indicating a series of screen locations at which the shopper appears in the video, the series of screen locations forming a shopper path through the shopping environment. Each screen location is typically expressed in screen coordinates. The method may further include translating the screen coordinates into store map coordinates. The method may further include displaying a store map window featuring a store map with the shopper trip in store map coordinates overlaid thereon.

Claims

1. A method of tracking shopper behavior in a shopping environment, comprising:

displaying on a computer screen of a computing device a video recording of a shopper captured by a video camera in a shopping environment; and

while the video is being displayed, receiving user input via user input device of the computing device, the user input indicating a series of screen locations at which the shopper appears in the video, the series of screen locations forming a shopper path through the shopping environment.

2. The method of claim 1, wherein the screen locations are input using a pointing device.

3. The method of claim 1, wherein each screen location is expressed in screen coordinates.

4. The method of claim 3, wherein the screen coordinates are indicated in pixels.

5. The method of claim 3, further comprising, translating the screen coordinates into store map coordinates.

6. The method of claim 5, wherein translating the screen coordinates into store map coordinates is accomplished at least in part by use of a transformative map including a look-up table with corresponding screen coordinates and store map coordinates listed therein.

7. The method of claim 6, wherein the look-up table is generated by identifying a plurality of fiducial coordinates in the video recording on the computer screen, and associated fiducial coordinates in a store map.

8. The method of claim 7, wherein the look-up table is further generated by interpolating from the corresponding fiducial coordinates to create associations between non-fiducial coordinates.

9. The method of claim 8, wherein the look-up table is further calibrated to account for camera lens distortion.

10. The method of claim 8, wherein the look-up table is further calibrated to account for perspective.

11. The method of claim 5, further comprising, displaying a store map window with a store map and shopper trip in store map coordinates displayed therein.

12. The method of claim 5, wherein the map coordinates represent true shopping points entered by a mapping technician, the method further comprising calculating ghost shopping points intermediate the true shopping points, along the shopper path.

13. The method of claim 12, wherein the ghost shopping points are calculated to extend around store displays.

14. The method of claim 1, further comprising, in response to a user command, displaying a trip segment window into which a user may enter information relating to a segment of the shopper trip displayed in the video.

15. The method of claim 1, further comprising, in response to a user command, displaying a demographics window into which a user may enter demographic information for each shopper trip.

16. A method of tracking shopper behavior in a shopping environment monitored by a plurality of video cameras, comprising:

providing a user interface on a computing device for viewing a video recording taken by a selected video camera monitoring the shopping environment;

providing a mapping module configured to translate screen coordinates for the selected camera into map coordinates in a store map;

displaying on a computer screen a video recording of a shopper captured by the video camera in a shopping environment;

while the video is being displayed, receiving user input from a user input device indicating a series of screen coordinates at which the shopper appears in the video; and

translating the series of screen coordinates into a corresponding series of map coordinates on the store map.

17. The method of claim 16, wherein the mapping module includes a lookup table.

18. The method of claim 17, wherein the lookup table is generated at least in part by associating fiducial screen coordinates with corresponding fiducial map coordinates.

19. The method of claim 18, wherein the lookup table is generated at least in part by interpolating from the fiducial coordinate associations, to create associations between non-fiducial coordinates.

20. The method of claim 19, wherein the lookup table is generated at least in part by further calibrating the lookup table to account for camera distortion.

21. The method of claim 19, wherein the lookup table is generated at least in part by further calibrating the lookup table to account for perspective.

22. A method of tracking shopper behavior in a shopping environment having a store map with x-y coordinates, the method comprising:

providing a plurality of video cameras in the shopping environment;

recording shopper movements using the plurality of video cameras;

providing a computing device having a screen and a pointing device;

providing a shopper tracking window configured to display a video recording from a camera in a video pane having a screen coordinate system;

providing a store map window configured to display a store map;

for each video camera, providing a transformative map associating screen coordinates to store map coordinates;

displaying a video recording from a selected camera in the video pane of the shopper tracking window;

receiving user input of screen coordinates corresponding to a path of a shopper in the video recording, the user input being received via detecting clicking of the pointing device on the screen while the video recording is being displayed;

translating the inputted screen coordinates to corresponding store map coordinates, using the transformative map for the selected camera, to thereby produce a shopper path in store coordinates; and

displaying the store map in the store map window, with a shopper path overlaid thereon.

25. The computer-aided video tracking system of claim 22, wherein the screen location is expressed in screen coordinates, and the store map location is expressed in map coordinates, and the screen-to-store mapping module includes a look-up table that maps corresponding screen coordinates to store map coordinates.

23. A computer-aided video tracking system for tracking shopper behavior in a shopping environment, the shopping environment having a plurality of video cameras positioned therein to record shoppers in the shopping environment, the system comprising:

a computing device having a processor, memory, screen, and associated user input device;

a shopper tracking program configured to be executed by the computing device using the processor and portions of the memory, the shopper tracking program being configured to display a user interface including;

a shopper tracking window including a video viewing pane configured to display recorded video from the video camera, the shopper tracking window being configured to enable a user to select points in the video viewing pane using the user input device, to thereby record a series of screen coordinates at which a shopper is located during a shopping trip;

a trip segment window configured to enable a user to enter data related to a selected trip segment;

a demographics window configured to enable a user to enter demographic data related to a selected shopper trip;

a store map window configured to display a store map with the shopper trip mapped thereon in store map coordinates.

24. A computer-aided video tracking system for tracking shopper behavior in a shopping environment, the shopping environment having a plurality of video cameras positioned therein to record shoppers in the shopping environment, the system comprising:

a shopper tracking program configured to be executed at the computing device, the shopper tracking program including;

a video viewing module configured to display video from one of a plurality of input video cameras on the computer screen;

a pointing device interface module configured to enable a user to select a location on the screen at which a video image of a shopper appears, to thereby record information relating to a segment of a shopper trip; and

a screen-to-store mapping module configured to translate the location on the screen selected by the user to a corresponding location on a store map.

26. The computer-aided video tracking system of claim 24, wherein the screen-to-store mapping module includes an association that is generated by computer calculation based on user selection of a set of fiducial points.

27. The computer-aided video tracking system of claim 24, wherein the shopping environment includes a plurality of video cameras, and wherein the video viewing module is configured to enable a user to select from among the plurality of video cameras to display on the computer screen.

28. The computer-aided video tracking system of claim 27, wherein the shopper tracking program further includes a camera view edge detection module configured to prompt a user to switch between camera views.

29. The computer-aided video tracking system of claim 24, wherein the screen locations entered by the mapping technician constitute true shopper points, and wherein the shopper tracking program is configured to interpolate between consecutive true shopper points to create ghost shopper points intermediate the consecutive true shopper points.

30. The computer-aided video tracking system of claim 29, wherein the ghost shopper points are calculated so as not to extend through physical barriers within the shopping environment.