Vehicle identification and tracking system
First Claim
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.
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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.
80 Citations
60 Claims
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1. A method for identifying a vehicle, comprising the steps of:
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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. - View Dependent Claims (2, 3, 4)
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5. A system used for identifying a vehicle, comprising:
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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. - View Dependent Claims (6, 7, 8, 9)
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10. An automated vehicle identification and tracking system, the system comprising:
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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. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43)
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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:
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(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. - View Dependent Claims (45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60)
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Specification