US 11,741,736 B2
Determining associations between objects and persons using machine learning models
Parthasarathy Sriram, Los Altos, CA (US); Fnu Ratnesh Kumar, Campbell, CA (US); Anil Ubale, Cupertino, CA (US); Farzin Aghdasi, East Palo Alto, CA (US); Yan Zhai, Santa Clara, CA (US); and Subhashree Radhakrishnan, Santa Clara, CA (US)
Assigned to NVIDIA Corporation, Santa Clara, CA (US)
Filed by NVIDIA Corporation, Santa Clara, CA (US)
Filed on Dec. 20, 2021, as Appl. No. 17/556,451.
Application 17/556,451 is a continuation of application No. 16/678,100, filed on Nov. 8, 2019, granted, now 11,205,086.
Claims priority of provisional application 62/760,690, filed on Nov. 13, 2018.
Prior Publication US 2022/0114800 A1, Apr. 14, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 40/10 (2022.01); G06N 3/08 (2023.01); G06T 7/246 (2017.01); G06V 10/26 (2022.01); G06V 20/52 (2022.01); G06N 3/045 (2023.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01)
CPC G06V 40/103 (2022.01) [G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/248 (2017.01); G06V 10/26 (2022.01); G06V 10/454 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30232 (2013.01); G06T 2207/30241 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A processor comprising:
processing circuitry to:
generate a sub-image of an image depicting a person corresponding to a person region and an object corresponding to an object region, the sub-image depicting a union region corresponding to a union between the object region and the person region;
apply data representative of the sub-image to one or more neural networks;
compute, using the one or more neural networks, one or more confidence values corresponding to an association between the person and the object based at least on the sub-image; and
determine whether the object is associated with the person based at least on the one or more confidence values.