公开(公告)号：US20230394686A1

公开(公告)日：2023-12-07

申请号：US18322641

申请日：2023-05-24

Applicant: Nokia Technologies Oy

Inventor： Chulhong MIN ,  Utku Gunay ACER ,  Fahim KAWSAR ,  Juheon YI

IPC: G06T7/292 ,  G06V10/75 ,  G06T7/246

CPC classification number: G06T7/292 ,  G06V10/751 ,  G06T7/248 ,  G06T2207/10016

Abstract: An apparatus comprising:



multiple cameras including at least a first camera having a first field of view and a second camera having a second field of view, wherein the second camera is different to the first camera and the second field of view is different to the first field of view; and
identification means for identifying an object captured by one or more of the multiple cameras, wherein the identification means comprises means for:
using visual feature matching for a detected object in the first field of view of the first camera to identify the detected object in the first field of view of the first camera as a first object; and using an expected location of the first object in the second field of view of the second camera to identify a detected object in the second field of view as the first object.

公开(公告)号：US20250165295A1

公开(公告)日：2025-05-22

申请号：US18950046

申请日：2024-11-16

Applicant: Nokia Technologies Oy

Inventor： Chulhong MIN ,  Utku Gunay ACER ,  Si Young JANG ,  Hyunjong LEE

IPC: G06F9/50

Abstract: Apparatus, comprising: means for obtaining a first machine learning model, the first machine learning model comprising at least a first layer; means for obtaining a second machine learning model, the second machine learning model comprising at least a second layer; means for determining an execution schedule for executing the first machine learning model and the second machine learning model, wherein the means for determining the execution schedule are configured to: vary a number of processing resources and a start time allocated to the first layer and the second layer. The apparatus further comprises means for executing the first machine learning model and the second machine learning model according to the execution schedule.