	US 12,112,540 B2
	Queue monitoring in occlusion conditions through computer vision
Michael C. Stewart, Boca Raton, FL (US)
Assigned to Sensormatic Electronics, LLC, Boca Raton, FL (US)
Filed by Sensormatic Electronics, LLC, Boca Raton, FL (US)
Filed on Oct. 8, 2021, as Appl. No. 17/497,732.
Claims priority of provisional application 63/089,949, filed on Oct. 9, 2020.
Prior Publication US 2022/0114371 A1, Apr. 14, 2022
Int. Cl. G06V 20/52 (2022.01); G06F 3/0481 (2022.01); G06T 7/20 (2017.01); G06T 7/70 (2017.01); G06V 10/22 (2022.01); G06V 20/40 (2022.01); G06V 40/10 (2022.01)

CPC G06V 20/52 (2022.01) [G06F 3/0481 (2013.01); G06T 7/20 (2013.01); G06T 7/70 (2017.01); G06V 10/225 (2022.01); G06V 20/40 (2022.01); G06V 40/10 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30232 (2013.01); G06T 2207/30242 (2013.01)]

21 Claims

1. A method comprising:

determining, based on an object detection system and a video capture device, a first size of a queue captured in a video frame;

determining a second size of the queue based on applying a correction model to the first size of the queue, the correction model being configured to correct a statistical bias associated with the object detection system or the video capture device;

detecting, based on an object tracking system, a person at a front of the queue;

determining, based on the object tracking system, a first period of time spent by the person at the front of the queue; and

estimating a second period of time spent by the person at a non-front position in the queue based at least in part on the first period of time and the second size of the queue.