Individual identification and tracking via combined video and LiDAR systems
Individual identification and tracking are provided via combined video and LiDAR systems. In various embodiments, a virtual plane may be generated. A video frame including the virtual plane is recorded via a first imaging modality. One or more objects are detected in the video frame when the one or more objects enters the virtual plane. An identifier is assigned to each of the one or more objects. One or more three-dimensional shapes are detected at the second imaging modality when the one or more three-dimensional shapes enters the virtual plane. For each of the one or more objects, a corresponding shape of the one or more three-dimensional shapes is determined. Each identifier is assigned to the respective corresponding shape of the one or more three-dimensional shapes. After assigning each identifier, a plurality of positional data is recorded for each of the one or more three-dimensional shapes.
1. A system comprising:
a first imaging modality having a first imaging field;
a second imaging modality having a second imaging field;
one or more processors; and
a non-transitory, computer-readable medium storing instructions that, when executed, cause the one or more processors to:
generate a virtual surface disposed within the first imaging field and within the second imaging field,
receive one or more images via the first imaging modality,
identify, based on the one or more images, one or more objects at the virtual surface at a first timepoint,
assign an identifier to each object of the one or more objects,
identify, via the second imaging modality, one or more three-dimensional shapes at the virtual surface at a second timepoint,
determine, for each object, a corresponding shape from the one or more three-dimensional shapes, and
for each corresponding shape:
assign the identifier for the object to the corresponding shape;
record positional data for the corresponding shape within the second imaging field via the second imaging modality; and
associate the positional data for the corresponding shape with the object.
2. The system of claim 1 , wherein each of the one or more images contains the virtual plane.
3. The system of claim 1 , wherein the second timepoint is coincident with the first time point.
4. The system of claim 1 , wherein the second imaging field is larger than first imaging field, and
wherein the second imaging field contains the first imaging field.
5. The system of claim 1 , wherein the first imaging modality comprises at least one of a digital camera and a video camera, and
wherein the second imaging modality comprises one or more LiDAR sensors.
6. The system of claim 1 , wherein the virtual surface is selected from the group consisting of a two-dimensional plane and a three-dimensional surface, and
wherein the virtual surface is substantially perpendicular to a ground surface.
7. The system of claim 1 , wherein each identifier comprises a set of alphanumeric characters.
8. The system of claim 7 , wherein each identifier comprises one of a serial number and a name.
9. The system of claim 1 , wherein the instructions, when executed, further cause the one or more processors to identify the one or more objects and identify the one or more three-dimensional shapes at the virtual surface substantially simultaneously.
10. The system of claim 1 , further comprising a display device,
wherein the instructions, when executed, further cause the one or more processors to:
generate a graphic of at least a portion of the second imaging field, the graphic comprising an indication of the positional data of the one or more objects within the at least a portion of the second imaging field over a period of time, and
display the graphic on the display device.
11. A computer-implemented method comprising:
generating a virtual surface disposed within a first imaging field of a first imaging modality and within a second imaging field of a second imaging modality;
receiving one or more images via the first imaging modality;
identifying, based on the one or more images, one or more objects at the virtual surface at a first timepoint;
assigning an identifier to each object of the one or more objects;
identifying, via the second imaging modality, one or more three-dimensional shapes at the virtual surface at a second timepoint;
determining, for each object, a corresponding shape from the one or more three-dimensional shapes; and
for each corresponding shape:
assigning the identifier for the object to the corresponding shape,
recording positional data for the corresponding shape within the second imaging field via the second imaging modality, and
associating the positional data for the corresponding shape with the object.
12. The computer-implemented method of claim 11 , wherein each of the one or more images contains the virtual plane.
13. The computer-implemented method of claim 11 , wherein the second timepoint is coincident with the first time point.
14. The computer-implemented method of claim 11 , wherein the second imaging field is larger than first imaging field, and
wherein the second imaging field contains the first imaging field.
15. The computer-implemented method of claim 11 , wherein the first imaging modality comprises at least one of a digital camera and a video camera, and
wherein the second imaging modality comprises one or more LiDAR sensors.
16. The computer-implemented method of claim 11 , wherein the virtual surface is selected from the group consisting of a two-dimensional plane and a three-dimensional surface, and
wherein the virtual surface is substantially perpendicular to a ground surface.
17. The computer-implemented method of claim 11 , wherein each identifier comprises a set of alphanumeric characters.
18. The computer-implemented method of claim 17 , wherein each identifier comprises one of a serial number and a name.
19. The computer-implemented method of claim 11 , wherein steps of identifying the one or more objects at the virtual surface and identifying the one or more three-dimensional shapes at the virtual surface are performed substantially simultaneously.
20. The computer-implemented method of claim 11 , further comprising:
generating a graphic of at least a portion of the second imaging field, the graphic comprising an indication of the positional data of the one or more objects within the at least a portion of the second imaging field over a period of time; and
displaying the graphic on the display device.
21. A computer program product comprising a computer readable storage medium storing instructions executable by a processor to cause the processor to carry out a method comprising:
generating a virtual surface disposed within a first imaging field of a first imaging modality and within a second imaging field of a second imaging modality;
receiving one or more images via the first imaging modality;
identifying, based on the one or more images, one or more objects at the virtual surface at a first timepoint;
assigning an identifier to each object of the one or more objects;
identifying, via the second imaging modality, one or more three-dimensional shapes at the virtual surface at a second timepoint;
determining, for each object, a corresponding shape from the one or more three-dimensional shapes; and
for each corresponding shape:
assigning the identifier for the object to the corresponding shape,
recording positional data for the corresponding shape within the second imaging field via the second imaging modality, and
associating the positional data for the corresponding shape with the object.