METHOD AND SYSTEM FOR EVALUTING SIGNAGE

• US 20150227965A1
• Filed: 02/07/2014
• Published: 08/13/2015
• Est. Priority Date: 02/07/2014
• Status: Abandoned Application

• Current Assignee: Krishnaraj Inbarajan, Paul Drysch
• Original Assignee: Krishnaraj Inbarajan, Paul Drysch
• Inventors: Drysch, Paul, Inbarajan, Krishnaraj
• Application Number:
  US14/175,009
• Publication Number:
  US 20150227965A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/51 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/5866 using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
• CPC Class Codes: G06Q 30/0246 Traffic
• CPC Class Codes: G06V 20/56 exterior to a vehicle by using sensors mounted on the vehicle
• CPC Class Codes: G06V 20/582 of traffic signs

Abstract

A method for capturing a scene image of signage from a vehicle moving on a road or from a person'"'"'s perspective not in a vehicle, the method includes the steps of capturing scene images of signage, recording video data of the scene image of signage into a memory, the video data being formed by image frames, tagging each image frame of the image frames or a group of the image frames with time data and location data, identifying a specific signage in the image frame, counting a least a potential number of people and a potential number of vehicles around the specific signage in the image frame, measuring a viewing angle formed between a driving direction of the vehicle or between a direction of movement of a person not in a vehicle and a viewing direction to the specific signage from the camera, classifying the specific signage into one of signage groups, and forming one or more databases including the classified signage groups and impact of each signage object.

Claims

1. A method for evaluating signage from a vehicle traveling on a road, the method comprising the steps of:

capturing, by at least one camera in the vehicle, imagery of signage;

recording, by a processor, video data of the imagery of signage into a memory, the processor being arranged to control the camera, the video data being formed by image frames;

tagging, by the processor, each image frame of the image frames or a group of the image frames with time data, location data where the imagery of signage is captured, speed data taken from a vehicle information bus connection, and driving direction data of the vehicle;

identifying, by the processor, a specific signage in the image frame;

counting, by the processor, a least a potential number of people or a potential number of vehicles around the specific signage in the image frame;

measuring, by the processor, a viewing angle formed between a driving direction of the vehicle and a viewing direction to the specific signage from the camera;

classifying, by the processor, the specific signage into a signage group; and

forming, by the processor, one or more databases including the classified signage groups.

2. The method for evaluating signage from a vehicle according to the claim 1, the method further comprising:

shifting, by the processor, in a lateral direction and/or a vertical direction the image frame to a different view point from within the vehicle.

3. The method for evaluating signage from a vehicle according to the claim 1, the method further comprising:

calculating, by the processor, a potential viewing time of the specific signage using at least the time data associated with the image frames of the specific signage.

4. The method for evaluating signage from a vehicle according to the claim 1, the method further comprising:

identifying, by the processor, types of vehicles around the specific signage in the image frame and types of people.

5. The method for evaluating signage from a vehicle according to the claim 1, the method further comprising:

rating, by the processor, the signage using evaluation factors including at least one of a potential viewing time, the potential number of vehicles, the potential number of people viewing the specific signage, viewing angle of the specific signage and an identified type of vehicle around the specific signage.

6. The method for evaluating signage from a vehicle according to the claim 1, the method further comprising:

rating, by the processor, a section of the road using evaluation factors including at least one of a potential viewing time, the potential number of vehicles, the potential number of people viewing the specific signage, viewing angle of the specific signage and an identified type of vehicle around the specific signage.

7. The method for evaluating signage from a vehicle according to the claim 1, further comprising:

capturing, by the camera, an image of a lane on the road on which the vehicle is traveling, the lane being a HOV (High-Occupancy-Vehicle) lane or a regular lane, wherein information associated with the lane is captured along with traffic speed history on each segment being travelled.

8. The method for evaluating signage from a vehicle according to the claim 1, further comprising:

analyzing, by the processor, weather of each frame of the video data.

9. The method for evaluating signage from a vehicle according to the claim 1, wherein the signage includes at least one of a traffic sign and a billboard.

10. The method for evaluating signage from a vehicle according to the claim 1, wherein the identified specific signage in the image frame is overlaid by a mask including a character set having several sizes of characters.

11. A method for evaluating signage from a vehicle traveling on a road, the method comprising the steps of:

capturing, by at least one camera in the vehicle, imagery of signage;

recording, by a processor, video data of the imagery of signage into a memory, the processor being arranged to control the camera, the video data being formed by image frames;

transmitting, by the processor, the video data to a server via network for analysis of signage;

tagging, by the processor, each image frame of the image frames or a group of the image frames with time data, location data where the imagery of signage is captured, speed data and driving direction data of the vehicle;

identifying, by the server, a specific signage in the image frame;

counting, by the server, a least a potential number of people or a potential number of vehicles around the specific signage in the image frame;

measuring, by the server, a viewing angle formed between a driving direction of the vehicle and a viewing direction to the specific signage from the camera;

classifying, by the server, the specific signage into one of signage groups; and

forming, by the server, one or more databases including the classified signage groups.

12. The method for evaluating signage from a vehicle according to the claim 11, the method further comprising:

shifting, by the processor, in a lateral direction and/or a vertical direction the image frame to a different view point from within the vehicle.

13. The method for evaluating signage from a vehicle according to the claim 11, the method further comprising:

calculating, by the server, a potential viewing time of the specific signage using at least the time data associated with the image frames of a specific signage.

14. The method for evaluating signage from a vehicle according to the claim 11, the method further comprising:

identifying, by the server, types of vehicles around the specific signage in the image frame and types of people.

15. The method for evaluating signage from a vehicle according to the claim 11, the method further comprising:

rating, by the server, the signage using evaluation factors including at least one of a potential viewing time, the potential number of vehicles, the potential number of people viewing the specific signage, viewing angle of the specific signage and an identified type of vehicle around the specific signage.

16. The method for evaluating signage from a vehicle according to the claim 11, further comprising:

capturing, by the camera, imagery of a lane on the road in which the vehicle is traveling, the lane being a HOV (High-Occupancy-Vehicle) lane or a regular lane, wherein information associated with the lane is captured along with traffic speed history on each segment being travelled.

17. The method for evaluating signage from a vehicle according to the claim 11, further comprising:

analyzing, by the processor, weather of each frame of the video data.

18. The method for evaluating signage from a vehicle according to the claim 11, wherein the signage includes a traffic sign and a billboard.

19. The method for evaluating signage from a vehicle according to the claim 11, wherein the identified specific signage in the image frame is overlaid by a mask including a character set having several sizes of characters.

20. A method for evaluating signage from the perspective of a person not in a vehicle moving around the signage, the method comprising the steps of:

capturing, by at least one camera, imagery of signage;

recording, by a processor, video data of the imagery of signage into a memory, the processor being arranged to control the camera, the video data being formed by image frames;

tagging, by the processor, each image frame of the image frames or a group of the image frames with time data, location data where the imagery of signage is captured, and moving speed data calculated by using a combination of an cancellation obtained from a accelerometer and the location data;

identifying, by the processor, a specific signage in the image frame;

counting, by the processor, a least a potential number of people around the specific signage in the image frame;

measuring, by the processor, a viewing angle formed between a moving direction of the people and a viewing direction to the specific signage from the camera;

classifying, by the processor, the specific signage into a signage group; and

forming, by the processor, one or more databases including the classified signage groups.