Optical person recognition techniques for social distancing

An apparatus for person detection and tracking, comprising:

• a processor;
• memory coupled with the processor;
• and
• instructions stored in the memory and executable by the processor to cause the apparatus to:
• detect motion at an optical camera, the motion corresponding to a subset of pixels of a set of pixels for a view of the optical camera;
• input information corresponding to at least the subset of pixels into a trained neural network;
• obtain, as an output of the trained neural network, an indication that at least a portion of the subset of pixels corresponds to a body;
• assign, in the memory, a tracker identifier to the body;
• convert from a first positioning of the body in the view of the optical camera to a second positioning of the body in a horizontal plane based at least in part on the subset of pixels and a non-linear matrix calculation;
• and
• store, in the memory and with an association to the tracker identifier, the second positioning of the body in the horizontal plane.

A non-transitory computer-readable medium storing code for person detection and tracking, the code comprising instructions executable by a processor to:

• detect motion at an optical camera, the motion corresponding to a subset of pixels of a set of pixels for a view of the optical camera;
• input information corresponding to at least the subset of pixels into a trained neural network;
• obtain, as an output of the trained neural network, an indication that at least a portion of the subset of pixels corresponds to a body;
• assign, in memory, a tracker identifier to the body;
• convert from a first positioning of the body in the view of the optical camera to a second positioning of the body in a horizontal plane based at least in part on the subset of pixels and a non-linear matrix calculation;
• and
• store, in the memory and with an association to the tracker identifier, the second positioning of the body in the horizontal plane.