Active compressive sensing via a thermal sensor for human scenario recognition

Patent metadata

Field	Value
Publication number	US-10133936-B2
Application number	US-201715621404-A
Country	US
Kind code	B2
Filing date	Jun 13, 2017
Priority date	Jun 13, 2016
Publication date	Nov 20, 2018
Grant date	Nov 20, 2018

Abstract

Disclosed and described herein is a system and a method for thermal detection of static and moving objects.

First claim

What is claimed is:

1. A device for thermal detection of static and moving objects comprising:
a thermal sensor; and
at least one mask in proximity to the sensor, wherein movement of at least one of the at least one mask and the thermal sensor causes the thermal sensor to create an active compressive sampling signal and wherein the at least one mask and the thermal sensor are stationary relative to one another and the at least one mask and the thermal sensor are both moved simultaneously to cause the thermal sensor to create the active compressive sampling signal.

2. The device of claim 1 , wherein the thermal sensor is stationary and the at least one mask moves relative to the stationary thermal sensor.

3. The device of claim 2 , wherein the at least one mask rotates around the stationary thermal sensor.

4. The device of claim 3 , wherein the at least one mask is caused to rotate around the stationary thermal sensor by a self-controlled servo motor.

5. The device of claim 1 , wherein the at least one mask is stationary and the thermal sensor moves relative to the stationary at least one mask.

6. The device of claim 1 , wherein the device is worn on a user and movement of the user causes simultaneous movement of the mask and the thermal sensor resulting in the thermal sensor creating the compressive sampling signal.

7. The device of claim 6 , wherein the device is worn on the user's wrist.

8. The device of claim 1 , wherein the active compressive sampling signal is created using a pseudo-random three-dimensional (3D) sampling method.

9. The device of claim 1 , wherein the at least one mask comprises at least four masks.

10. The device of claim 1 , wherein the thermal sensor comprises a pyroelectric infrared (PIR) sensor.

11. The device of claim 1 , further comprising a processor, wherein the processor receives the active compressive sampling signal from the thermal sensor and executes computer-readable instructions that identifies a subject within a field of view of the sensor.

12. The device of claim 11 , wherein the identified subject is stationary or wherein the identified subject is moving.

13. The device of claim 11 , wherein the subject comprises a human and the human is identified as standing, couching or sitting.

14. A method of thermal detection of static and moving objects comprising:
providing a thermal sensor; and
providing at least one mask in proximity to the sensor; and
creating an active compressive sampling signal by moving at least one of the at least one mask and the thermal sensor, wherein the at least one mask and the thermal sensor are stationary relative to one another and the at least one mask and the thermal sensor are both moved simultaneously to cause the thermal sensor to create the active compressive sampling signal.

15. The method of claim 14 , wherein the thermal sensor is stationary and the at least one mask moves relative to the stationary thermal senor.

16. The method of claim 15 , wherein the at least one mask rotates around the stationary thermal sensor.

17. The method of claim 16 , wherein the at least one mask is caused to rotate around the stationary thermal sensor by a self-controlled servo motor.

18. The method of claim 14 , wherein the at least one mask is stationary and the thermal sensor moves relative to the stationary at least one mask.

19. The method of claim 14 , wherein the device is worn on a user and movement of the user causes simultaneous movement of the mask and the thermal sensor resulting in the thermal sensor creating the compressive sampling signal.

20. The method of claim 14 , wherein the active compressive sampling signal is created using a pseudo-random three-dimensional (3D) sampling method.

21. The method of claim 19 , wherein the device is worn on the user's wrist.

22. The method of claim 14 , wherein the at least one mask comprises at least four masks.

23. The method of claim 14 , wherein the thermal sensor comprises a pyroelectric infrared (PIR) sensor.

24. The method of claim 14 , wherein the active compressive sampling signal from the thermal sensor is used to identify a subject within a field of view of the sensor.

25. The method of claim 24 , wherein the identified subject is stationary or wherein the identified subject is moving.

26. The method of claim 24 , wherein the subject comprises a human and the human is identified as standing, couching or sitting.

Assignees

• Univ Alabama

Inventors

• Hu Fei
• Ma Rui
• Hao Qi

Classifications

• G06V20/52 Primary

  Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) · CPC title

• G06V10/147

  Details of sensors, e.g. sensor lenses (fingerprint or palmprint sensors G06V40/13; vascular sensors G06V40/145; eye sensors G06V40/19) · CPC title

• G01J2005/0077

  Imaging · CPC title

• G06K9/00771 Primary

  Physics · mapped topic

• G06K9/00691

  Physics · mapped topic