E-FIELD/B-FIELD/ACOUSTIC GROUND TARGET DATA FUSED MULTISENSOR METHOD AND APPARATUS

• US 20080211690A1
• Filed: 01/04/2006
• Published: 09/04/2008
• Est. Priority Date: 01/04/2005
• Status: Abandoned Application

• Current Assignee: U.S. Government
• Original Assignee: U.S. Government
• Inventors: Kinasewitz, Robert Theodore, Owens, Leon Edward
• Application Number:
  US11/306,599
• Publication Number:
  US 20080211690A1
• Time in Patent Office: Days
• US Class Current: 340/933
• CPC Class Codes: G01V 11/00 Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
• CPC Class Codes: G01V 2210/6163 Electromagnetic

Abstract

A set of sensors and accompanying method(s) that permit the rapid and reliable determination of the type of object sensed within a surveillance area thereby allowing accurate, real-time threat assessment and associated action(s). The set of sensors (or multisensor) deployed with the surveillance area may include E-Field sensors, B-Field sensors and Acoustic sensors that provide sensor specific characteristics of an object which—when processed according to our data fusion method(s)—produces higher order information such as the ability to accurately differentiate between humans, humans not carrying magnetic materials, humans carrying magnetic materials (such as firearms), and vehicles—both armored and unarmored.

Claims

1. In a surveillance system comprising a number of individual sensors, wherein the number of individual sensors includes at least one E-Field sensor and at least one B-Field sensor, an object determination method comprising the steps of:

determining, from data acquired by the E-Field sensor(s) whether an object sensed by the sensor(s) is a human being;

determining, from data acquired by the B-Field sensor(s) whether the object sensed by the sensor(s) has metallic characteristic(s); and

determining, from the above determinations, the nature of the object(s) wherein the object is one selected from the group consisting of;

     1) No Object;

     2) A Human Being Without Metal;

     3) A Human Being With Metal;

or

     4) A Vehicle.

2. The method according to claim 1 wherein the number of individual sensors includes at least one Acoustic sensor, said method further comprising the step(s) of:

determining, from data acquired by the Acoustic sensor(s), whether the object sensed by the sensor(s) is a vehicle.

3. The method according to claim 2, further comprising the steps of:

determining, from data acquired by the Acoustic sensor(s), whether the vehicle sensed is an armored vehicle or not.

4. The method according to claim 1 wherein the B-Field determining step further comprises the steps of:

acquiring, by the B-Field sensor, B-Field specific data;

analyzing, the acquired B-Field specific data; and

determining, from the analyzed B-Field specific data, whether a B-Field signal sufficient for metallic determination is present.

5. The method according to claim 1, wherein the E-Field determining step further comprises the steps of:

acquiring, by the E-Field sensor, E-Field specific data;

analyzing, the acquired E-Field specific data;

determining, from the analyzed E-Field specific data, whether an E-Field signal sufficient for human determination is present.

6. The method according to claim 5 further comprising the step(s) of:

extracting, particular features from the analyzed E-Field specific data; and

determining, from the extracted features whether the motion of appendages (arms/legs) is present in the object.

7. The method according to claim 2 wherein said Acoustic data determining step further comprises the steps of:

acquiring, by the Acoustic sensor, Acoustic specific data;

analyzing, the acquired Acoustic specific data; and

determining, from the analyzed Acoustic specific data, whether an Acoustic signal sufficient for determination is present.

8. The method according to claim 7 further comprising the step(s) of:

extracting, particular features from the analyzed Acoustic specific data; and

determining, from the extracted features whether the object is a vehicle.