Multiple hypothesis tracking

• US 20090312985A1
• Filed: 06/12/2008
• Published: 12/17/2009
• Est. Priority Date: 06/12/2008
• Status: Abandoned Application

• Current Assignee: Signal Innovations Group, Inc. (BAE Systems Plc)
• Original Assignee: Signal Innovations Group, Inc. (BAE Systems Plc)
• Inventors: Eliazar, Austin I.D.
• Application Number:
  US12/157,703
• Publication Number:
  US 20090312985A1
• Time in Patent Office: Days
• US Class Current: 702/187
• CPC Class Codes: G01S 13/58 Velocity or trajectory determination systems; Sense-of-movement determination systems
• CPC Class Codes: G06N 20/00 Machine learning

Abstract

Multiple hypothesis tracking is a system which enables an analytic sensor framework to capture sensor data and simultaneously account for many possible instantiations of objects, trajectories and behaviors that may be represented within the captured data. Each data instantiation is represented by a different likelihood of possibility based upon data used to train the recognition module of the analytic sensor framework and/or prior knowledge of an analyst. The data instantiations for objects, trajectories, and behaviors are identified in real time.

Claims

1. a method of capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising:

receiving sensor measurement data from a suite of sensors deployed in the field;

processing the sensor measurement data to locate data objects of interest and create shape, color and trajectory models for each data object;

storing the data object models in an active memory storage device and simultaneously displaying the most current data object model information to a user;

wherein each iteration of stored data object model information creates a history from which a data object model may be reconstructed or from which an entire sensor measurement data set may be recovered and displayed if sensor data or a data object model is no longer available.

2. a method as in claim 1 of capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein said deployed sensors may be sensors that collect video, audio, radar, infrared, ultrasonic, or hyper-spectral data, or any combination of said sensor types.

3. a method as in claim 1 of capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein each data object is represented by a different likelihood of possibility for each color, shape and trajectory model and the probabilities are stored with each model within the database.

4. a method as in claim 3 of capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein the color, shape, and trajectory models are combined into a unified group to provide an accurate measure of the position and motion of data objects within the sensor data.

5. a method as in claim 4 of capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein the unified group of model data is presented on a display device as tracking data to a user.

6. a method as in claim 1 of capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein multiple copies of sensor data and object model data are maintained within the active database.

7. a method as in claim 6 of capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein when a data object is lost from an incoming sensor measurement data set, the data object history may be retrieved from the previously stored data object and thereupon used to reconstitute the data object within the current tracking display.

8. a method as in claim 6 of capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein when a sensor measurement data set is lost for any reason the sensor measurement data set may be reconstituted from the stored history data for the sensor measurement data set.

9. a computer program product within a storage device for capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising:

receiving sensor measurement data from a suite of sensors deployed in the field;

processing the sensor measurement data to locate data objects of interest and create shape, color and trajectory models for each data object;

storing the data object models in an active memory storage device and simultaneously displaying the most current data object model information to a user;

wherein each iteration of stored data object model information creates a history from which a data object model may be reconstructed or from which an entire sensor measurement data set may be recovered and displayed if sensor data or a data object model is no longer available.

10. a computer program product within a storage device as in claim 9 for capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein said deployed sensors may be sensors that collect video, audio, radar, infrared, ultrasonic, or hyper-spectral data, or any combination of said sensor types.

11. a computer program product within a storage device as in claim 9 for capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein each data object is represented by a different likelihood of possibility for each color, shape and trajectory model and the probabilities are stored with each model within the database.

12. a computer program product within a storage device as in claim 11 for capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein the color, shape, and trajectory models are combined into a unified group to provide an accurate measure of the position and motion of data objects within the sensor data.

13. a computer program product within a storage device as in claim 12 for capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein the unified group of model data is presented on a display device as tracking data to a user.

14. a computer program product within a storage device as in claim 9 for capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein multiple copies of sensor data and object model data are maintained within the active database.

15. a computer program product within a storage device as in claim 14 for capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein when a data object is lost from an incoming sensor measurement data set, the data object history may be retrieved from the previously stored data object and thereupon used to reconstitute the data object within the current tracking display.

16. a computer program product within a storage device as in claim 14 for capturing and processing sensor data to track data objects embedded within the sensor data and maintain an accessible active history of the data objects comprising, wherein when a sensor measurement data set is lost for any reason the sensor measurement data set may be reconstituted from the stored history data for the sensor measurement data set.