Object selection in computer vision

A system comprising:

• at least one processor;
• a display;
• at least one camera;
• a microphone;
• and
• non-transitory computer-readable memory storing instructions that, when executed by the at least one processor, are effective to:
• detect a first person represented in a first video data;
• determine a first level of engagement of the first person with the at least one camera at a first time;
• determine a first ratio proportional to the first level of engagement of the first person with the camera;
• determine a first weight value for the first person at a second time based at least in part by increasing an initial weight value for the first person at a first rate, wherein the first rate is determined based at least in part on the first ratio;
• and
• control the at least one camera to track the first person within frames of image data generated by the first device based at least in part on a threshold weight value.

A non-transitory computer-readable storage medium storing instructions that, when executed by at least one processor, are effective to perform a method comprising:

• detecting a first person represented in a first video data;
• determining a first level of engagement of the first person with a camera at a first time;
• determining a first ratio proportional to the first level of engagement of the first person with the camera;
• determining a first weight value for the first person at a second time based at least in part by increasing an initial weight value for the first person at a first rate, wherein the first rate is determined based at least in part on the first ratio;
• and
• controlling the camera to track the first person within frames of image data generated by the camera based at least in part on a threshold weight value.