System and method for tracking persons using a volumetric representation

• US 10,360,445 B2
• Filed: 08/10/2018
• Issued: 07/23/2019
• Est. Priority Date: 03/23/2016
• Status: Active Grant

• Current Assignee: Akcelita LLC
• Original Assignee: Akcelita LLC
• Inventors: Yamin, Rene, Esparra, Rafael, Vega, Giovany
• Primary Examiner(s): Bhatnagar, Anand P
• Application Number:
  US16/100,396
• Publication Number:
  US 20180365486A1
• Time in Patent Office: 347 Days
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G06V 20/53 Recognition of crowd images, e.g. recognition of crowd congestion
• CPC Class Codes: G06V 20/653 by matching three-dimensional models, e.g. conformal mapping of Riemann surfaces
• CPC Class Codes: G06V 40/103 Static body considered as a whole, e.g. static pedestrian or occupant recognition

Abstract

A system and method for tracking and annotating objects in a 3D model is disclosed. The method includes receiving a signal feed from a group of sensors including at least one depth sensor, determining a reference signal feed from the signal feed, determining a volumetric representation of at least one object not present in the reference signal feed, assigning a unique volumetric profile to at least one object, and/or storing the unique volumetric profile in an object database. The signal feed may include at least one 3D area of interest. Also, the unique volumetric profile may include a unique volumetric id obtained from a group of attributes. The unique volumetric profile may include at least a unique volumetric position and a unique volumetric centroid. The group of sensors may further include video cameras, thermal, and chemical sensors.

Claims

1. A method comprising the steps of:

receiving, by a capture server, a signal feed from a plurality of sensors, said signal feed comprising at least one area of interest, said plurality of sensors comprising at least one depth sensor,

determining a reference signal feed from the signal feed,

determining a volumetric representation of at least one person not present in the reference signal feed,

assigning a unique volumetric profile to said at least one person,

storing said unique volumetric profile in a person database,

wherein said unique volumetric profile comprises a unique volumetric id obtained from a plurality of volumetric attributes comprising at least a unique volumetric position and a unique volumetric centroid.

2. The method of claim 1, further comprising processing an aggregated data based on a plurality of unique volumetric profiles stored in the person database.

3. The method of claim 2, wherein the aggregated data comprises a number of persons in a physical space.

4. The method of claim 2, further comprising the step of comparing said unique volumetric profile with a plurality of unique volumetric profiles stored in said person database.

5. The method of claim 1, wherein the unique volumetric attributes further comprise a total volume, height, and weight.

6. The method of claim 1, wherein the plurality of sensors further comprises at least one video sensor and the unique volumetric attributes further comprise color.

7. The method of claim 1, wherein the plurality of sensors further comprises at least one thermal sensor and the unique volumetric attributes further comprise temperature.

8. A computing apparatus, the computing apparatus comprising:

a processor; and

a memory storing instructions that, when executed by the processor, configure the apparatus to a processor execute the steps of;

receive a signal feed from a volumetric sensor,

calculate a reference signal feed from the signal feed,

determine optimal space for detecting persons,

detect the presence of a person in the reference signal feed,

assign a unique volumetric profile to the person,

said unique volumetric profile comprising a unique volumetric id and a unique volumetric position,

store the unique volumetric profile in a person database, and

retrieve the unique volumetric profile from the person database.

9. The computing apparatus of claim 8, wherein the unique volumetric profile further comprises a total volume, height, and weight.

10. The computing apparatus of claim 8, wherein the plurality of sensors further comprises at least one video sensor and the unique volumetric profile further comprises color.

11. The computing apparatus of claim 8, wherein the plurality of sensors further comprises at least one thermal sensor and the unique volumetric profile further comprises temperature.

12. The computing apparatus of claim 8, wherein the processor is further configured to execute the step of comparing said unique volumetric profile with a plurality of unique volumetric profiles stored in said person database.

13. A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to a processor execute the steps of:

receive a signal feed from a volumetric sensor,

calculate a reference signal feed from the signal feed,

determine optimal space for detecting persons,

detect the presence of a person in the signal feed,

assign a unique volumetric profile to the person,

said unique volumetric profile comprising a unique volumetric id and a unique volumetric position,

store the unique volumetric profile in a person database, and

retrieve the unique volumetric profile from the person database.

14. The non-transitory computer-readable storage medium of claim 13, wherein the unique volumetric profile further comprises a total volume, height, and weight.

15. The non-transitory computer-readable storage medium of claim 13, wherein the plurality of sensors further comprises at least one video sensor and the unique volumetric profile further comprises color.

16. The non-transitory computer-readable storage medium of claim 13, wherein the plurality of sensors further comprises at least one thermal sensor and the unique volumetric profile further comprises temperature.

17. The non-transitory computer-readable storage medium of claim 13, further comprising the step of comparing said unique volumetric profile with a plurality of unique volumetric profiles stored in said person database.