SYSTEM AND METHOD FOR VEHICLE RECOGNITION IN A DYNAMIC SETTING

• US 20140267793A1
• Filed: 03/07/2014
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Delphi Display Systems, Inc.
• Original Assignee: Delphi Display Systems, Inc.
• Inventors: Wang, Shaofei, Homan-Muise, Bill
• Application Number:
  US14/201,288
• Publication Number:
  US 20140267793A1
• Time in Patent Office: Days
• US Class Current: 348/207.1
• CPC Class Codes: G06V 10/255 Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
• CPC Class Codes: G06V 20/54 of traffic, e.g. cars on the road, trains or boats
• CPC Class Codes: G06V 2201/08 Detecting or categorising vehicles

Abstract

A system and method for use with at least one internet protocol (IP) video camera, or other vision capture equipment to look for and identify vehicles passing a particular point or points in the drive thru lane and a retail establishment, such as, for example, a quick service restaurant.

Claims

1. A system for identifying a vehicle, comprising:

at least one camera communicatively connected to at least one network hub, computer or gateway device for capturing at least one image of a passing vehicle;

a network hub, computer or gateway device for creating at least one template consisting of a plurality of pixels from the at least one image; and

a database for storing the at least one template and a plurality of known templates associated with at least one prior passing vehicle;

wherein the at least one template is compared to ones of the plurality of known templates for the identification of at least one prior passing vehicle.

2. The system of claim 1, wherein the at least one template is a HOG template.

3. The system of claim 1, wherein the at least one image comprises a portion of the driver'"'"'s side of the vehicle.

4. The system of claim 1, wherein the at least one image comprises a portion of the rear of the vehicle.

5. The system of claim 1, wherein the at least one image comprises a portion of the overhead view of the vehicle.

6. The system of claim 1, wherein the at least one image comprises at least one unique identifier.

7. The system of claim 1, wherein the identification of at least one prior passing vehicle is stored in association with the at least one template and at least ones of the plurality of known templates.

8. A method for identifying a vehicle, comprising:

providing, at least two locations, at least two cameras communicatively connected to at least one network hub, computer or gateway device for capturing at least two images of a passing vehicle;

creating at least two templates consisting of a plurality of pixels from the at least two images; and

storing on at least one database the at least two templates and a plurality of known templates associated with at least one prior passing vehicle;

wherein one of the at least two templates is compared to ones of the plurality of known templates for the identification of at least one prior passing vehicle.

9. The method of claim 8, wherein one of the at least two templates is a HOG template.

10. The method of claim 8, wherein one of the at least two images comprise at least a portion of one of the vehicle'"'"'s wheels.

11. The method of claim 8, wherein one of the at least two images comprise at least one unique identifier.

12. The method of claim 8, wherein the identification of at least one prior passing vehicle is stored in association with one of the at least two templates and at least ones of the plurality of known templates.