Vehicle identification and tracking system

• US 20060200307A1
• Filed: 03/04/2005
• Published: 09/07/2006
• Est. Priority Date: 03/04/2005
• Status: Abandoned Application

• Current Assignee: Lockheed Martin Corporation (Martin Marietta Corporation)
• Original Assignee: Lockheed Martin Corporation (Martin Marietta Corporation)
• Inventors: Riess, Michael J.
• Application Number:
  US11/072,823
• Publication Number:
  US 20060200307A1
• Time in Patent Office: Days
• US Class Current: 701/207
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• 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: G08G 1/04 using optical or ultrasonic detectors
• CPC Class Codes: G08G 1/20 Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles

Abstract

The present invention is directed to an automated vehicle identification and tracking system. The system includes at least one area monitoring system that has a plurality of imaging units disposed in an area. Each imaging unit is configured to capture an image of a monitored vehicle disposed in the area. A control system is remotely coupled to the at least one area monitoring system. The control system is configured to classify and track the monitored vehicle based on anonymous vehicle feature data extracted from the captured image. The system can assimilate eyewitness input concerning a vehicle based on anonymous vehicle feature data, including time and location of the sighting of the target vehicle, wherein the system can effectively identify the current location of candidate target vehicles within the monitored area.

Claims

1. A method for identifying a vehicle, comprising the steps of:

using said at least one sensor to acquire a plurality of data about at least one vehicle in a monitored area;

storing said acquired data in a database;

classifying said at least one vehicle into a classification using said acquired data and storing said classification in said database;

determining a set of candidate vehicles, from said classification in said database, similar to a particular vehicle or vehicle pattern based on a description of said particular vehicle or vehicle pattern; and

providing a user with a list of said set of candidate vehicles.

2. The method of claim 1, further comprising the step of providing said user with a path of each of said candidate vehicles in said monitored area, wherein said description includes a location and time of sighting of said particular vehicle, and wherein each path of said candidate vehicles intersects with said location at said time.

3. The method of claim 1, wherein said description is based on an eyewitness report regarding said particular vehicle sighted at a particular time and location.

4. A method according to claim 1, wherein said description is based on an image of said particular vehicle.

5. A system used for identifying a vehicle, comprising:

means for using said at least one sensor to acquire a plurality of data about at least one vehicle in a monitored area;

means for storing said acquired data in a database;

means for classifying said at least one vehicle into a classification using said acquired data;

means for storing said classification in said database;

means for determining a set of candidate vehicles, from said classification in said database, similar to a particular vehicle or vehicle pattern based on a description of said particular vehicle or vehicle pattern; and

means for providing a user with a list of said set of candidate vehicles.

6. The system of claim 5, further comprising means for providing said user with a path of each of said candidate vehicles in said monitored area, wherein said description includes a time and location of said particular vehicle, and wherein each path of said candidate vehicles intersects with said time and location.

7. The system of claim 5, wherein said description is based on an eyewitness report regarding said particular vehicle, said eyewitness report including time and location information relating to said vehicle.

8. The system of claim 5, wherein said description is based on an image of said particular vehicle.

9. The system of claim 8, wherein said means for storing said classification in said database includes a template containing anonymous vehicle feature data extracted from said image.

10. An automated vehicle identification and tracking system, the system comprising:

at least one area monitoring system including a plurality of imaging units disposed in a monitored area, each imaging unit being configured to capture at least one image of at least one vehicle disposed in the monitored area; and

a control system remotely coupled to the at least one area monitoring system, the control system being configured to classify and track the at least one vehicle based on anonymous vehicle feature data extracted from the captured image.

11. The system of claim 10, wherein the anonymous vehicle feature data includes at least one of standard vehicle feature data and non-standard vehicle feature data.

12. The system of claim 11, wherein the standard vehicle feature data includes at least one of vehicle make data, vehicle model data, vehicle color data, and vehicle year data.

13. The system of claim 11, wherein the non-standard vehicle feature data includes at least one of missing standard vehicle components, extra non-standard vehicle components, vehicle body indicia, vehicle damage characteristics, passenger facial data, and other distinguishing vehicle characteristics.

14. The system of claim 10, wherein the at least one area monitoring system further comprises an area system communications interface, the area system communications interface being configured to communicate with the control system and each of the plurality of imaging units disposed in the area.

15. The system of claim 14, wherein said area communications interface is configured to be coupled to a communications network.

16. The system of claim 14, wherein each of the plurality of imaging units further comprises:

an imager configured to generate a digital signal representative of an image of the vehicle;

a processor coupled to the imager, the processor being programmed to extract the anonymous vehicle feature data from the digital signal; and

an imaging unit communications interface configured to transmit the anonymous vehicle feature data to the area system communications interface.

17. The system of claim 16, wherein the processor is programmed to compress the digital signal.

18. The system of claim 16, wherein each imaging unit further comprises a trigger device coupled to the imager, the imaging trigger being configured to provide the imager with an imaging start signal, the imager being configured to capture an image of the vehicle disposed in the area in response to the imaging start signal.

19. The system of claim 18, wherein the imaging start signal is a periodic signal such that the imager periodically captures an image of the imager field of view.

20. The system of claim 19, wherein the processor is programmed to compare an image frame with a previous image frame to detect the presence of the vehicle.

21. The system of claim 18, wherein the trigger device includes a range detector which provides a signal that indicates whether an object is within the field of view of the imager.

22. The system of claim 10, wherein the at least one area monitoring system transmits area monitor data to the control system, the area monitor data being image data corresponding to the captured image.

23. The system of claim 22, wherein the area monitor data is a compressed version of the captured image.

24. The system of claim 10, wherein the at least one area monitoring system transmits the anonymous vehicle feature data to the control system.

25. The system of claim 10, wherein the control system further comprises:

a vehicle type template database configured to store vehicle template records, each vehicle template record corresponding to a predetermined vehicle classification, each vehicle record including a plurality of data fields, each data field corresponding to a predetermined vehicle attribute;

a tracked vehicle database configured to store tracked vehicle records, each tracked vehicle record including data corresponding to anonymous vehicle feature data extracted from a captured image of a previously monitored vehicle, each tracked vehicle record including a plurality of data fields corresponding to measured tracked vehicle attributes derived from anonymous vehicle feature data; and

at least one computer system coupled to the vehicle type template database and the tracked vehicle database, the at least one computer system including a processor programmed to,

derive measured monitored vehicle attributes from the anonymous vehicle feature data of the monitored vehicle, and

compare the measured monitored vehicle attributes with the plurality of data fields in the tracked vehicle records.

26. The system of claim 25, wherein each said tracked vehicle record further includes time and location data.

27. The system of claim 26, wherein the processor is programmed to flag the monitored vehicle as a new vehicle if the measured monitored vehicle attributes do not correspond to the measured tracked vehicle attributes stored in the tracked vehicle records.

28. The system of claim 26, wherein a new tracked vehicle record is created in the tracked vehicle database, the new tracked vehicle record including a plurality of data fields corresponding to the measured monitored vehicle attributes.

29. The system of claim 28, wherein the new tracked vehicle record includes the time said image was captured and location of said vehicle.

30. The system of claim 27, wherein the measured monitored vehicle attributes are compared to the predetermined vehicle attributes stored in the vehicle template records to thereby classify the monitored vehicle in accordance with one of the predetermined vehicle classifications.

31. The system of claim 26, wherein the processor is programmed to update the location of tracked vehicle if the measured monitored vehicle attributes correspond to the measured tracked vehicle attributes stored in a tracked vehicle record.

32. The system of claim 25, wherein the at least one computer system further comprises:

at least one data input device; and

at least one display device.

33. The system of claim 32, wherein the processor is further programmed to:

compare described vehicle attributes provided via the at least one data input device with the plurality of data fields in the tracked vehicle records; and

display at least one candidate vehicle obtained from the tracked vehicle database if the described vehicle attributes correspond to the measured tracked vehicle attributes stored in the tracked vehicle records.

34. The system of claim 25, wherein the processor is further programmed to select a vehicle template from the template database based upon an eyewitness input description of a predetermined vehicle, said eyewitness input description including the time and location of a sighting of said predetermined vehicle.

35. The system of claim 34, wherein said processor is further programmed to compare the eyewitness input description with stored vehicle templates that are closest to the location and time of the eyewitness input.

36. The system of claim 35, wherein said comparison is continued for a predetermined tolerance of time and/or distance, from said location and time of the eyewitness input description, or until all vehicles in the tracked vehicle database has been examined.

37. The system of claim 35, wherein said processor is further programmed to provide a user with a list of candidate vehicles.

38. The system of claim 37, wherein said processor is further programmed to provide a user with a path of each candidate vehicle in the monitored area, wherein each path intersects with the time and location provided by said eyewitness input description.

39. The system of claim 25, wherein the at least one computer system includes a plurality of computer systems arranged in a network.

40. The system of claim 39, wherein the network includes at least one of a local area network (LAN), a wide area network (WAN), a client-server network.

41. The system of claim 10, wherein the control system includes a communications interface configured to communicate with the at least one area monitoring system.

42. The system of claim 10, wherein the control system is coupled to at least one external entity by a telecommunications network.

43. The system of claim 42, wherein the external entity includes at least one law enforcement or public safety agency, a traffic management agency, or a security system.

44. A method for identifying and tracking vehicles in an automated vehicle identification and tracking system, the system including at least one area monitoring system and a control system, the at least one area monitoring system having a plurality of imaging units disposed in an area, the method comprising the steps of:

(a) capturing an image of a vehicle disposed in the area with at least one of the plurality of imaging units;

(b) extracting first anonymous vehicle feature data and first location image capture time data from the captured image;

(c) classifying the vehicle based on the anonymous vehicle feature data; and

(d) storing the first location data and the first anonymous vehicle feature data.

45. The method of claim 44, further comprising the steps of:

repeating steps (a) and (b) to obtain a second location and second anonymous vehicle feature data;

comparing the first anonymous vehicle feature data to second anonymous vehicle feature data; and

storing the second location data as a current location of the vehicle if the first anonymous vehicle feature data corresponds to the second anonymous vehicle feature data.

46. The method of claim 44, wherein the step of imaging further comprises:

generating a digital signal representative of an image of the vehicle;

extracting the anonymous vehicle feature data from the digital signal; and

transmitting the anonymous vehicle feature data from the imaging unit to the control system.

47. The method of claim 46, further comprising the step of compressing the anonymous vehicle feature data.

48. The method of claim 44, further comprising the step of transmitting area monitor data from the at least one area monitoring system to the control system, the area monitor data including image data corresponding to the captured image.

49. The method of claim 48, wherein the area monitor data is a compressed version of the captured image.

50. The method of claim 44, further comprising the step of transmitting the anonymous vehicle feature data from the at least one area monitoring system to the control system.

51. The method of claim 44, further comprising the steps of:

providing a tracked vehicle database coupled to the control system, the tracked vehicle database being configured to store tracked vehicle records, each tracked vehicle record including data corresponding to anonymous vehicle feature data extracted from a captured image of a previously monitored vehicle, each tracked vehicle record including a plurality of data fields corresponding to measured tracked vehicle attributes derived from anonymous vehicle feature data;

deriving measured vehicle attributes from the anonymous vehicle feature data of the vehicle; and

comparing the measured vehicle attributes with the plurality of data fields in the tracked vehicle records.

52. The method of claim 51, wherein each tracked vehicle record is configured to store the time the image was captured and the location of the vehicle at the time the image was captured.

53. The method of claim 52, further comprising the steps of:

identifying the vehicle as a new vehicle if the measured vehicle attributes do not correspond to the measured tracked vehicle attributes stored in the tracked vehicle records; and

creating a new tracked vehicle record in the tracked vehicle database, the new tracked vehicle record including a plurality of data fields corresponding to the measured vehicle attributes.

54. The method of claim 53, further comprising the step of updating the location of tracked vehicle if the measured vehicle attributes correspond to the measured tracked vehicle attributes stored in a tracked vehicle record.

55. The method of claim 44, further comprising the step of providing a vehicle type template database coupled to the control system, the vehicle type template database being configured to store vehicle template records, each vehicle template record corresponding to a predetermined vehicle classification, each vehicle record including a plurality of data fields, each data field corresponding to a predetermined vehicle attribute.

56. The method of claim 55, including the step of selecting a vehicle template from said vehicle template database based upon an eyewitness input including the time and location of a sighting of a predetermined vehicle.

57. The method of claim 56, including the step of comparing the eyewitness input description with stored vehicle templates that are closest to the location and time of the eyewitness input.

58. The method of claim 57, wherein said comparison step is continued until one of all vehicle records contained in a vehicle tracking database have been examined or a predetermined number of vehicle records based on a specified time and/or distance from the sighting have been examined.

59. The method of claim 58, including the step of providing the user with a list of candidate vehicles which most closely correlate to those provided, based on said comparison.

60. The method of claim 59, including the step of providing the user with a path of each candidate vehicle in the monitored area, wherein each path of each candidate vehicle intersects with the eyewitness location sighting.