Information processing device, information processing method, and recording medium

Patent metadata

Field	Value
Publication number	US-2026057639-A1
Application number	US-202519289499-A
Country	US
Kind code	A1
Filing date	Aug 4, 2025
Priority date	Aug 22, 2024
Publication date	Feb 26, 2026
Grant date	—

Abstract

An information processing device includes a memory configured to store instructions; and one or more processors configured to execute the instructions to: predict a trajectory of an object included in at least one of a plurality of target images with reference to a plurality of target images; extract a feature of the trajectory and calculate a reliability of the trajectory based on the feature; generate a virtual label in which each of the plurality of target images, a position of the object included in the target image, the trajectory, and the reliability are associated with each other; and learn a state transition model that predicts a state of an object included in a plurality of images by using the virtual label.

First claim

1 . An information processing device comprising:
a memory configured to store instructions; and one or more processors configured to execute the instructions to: predict a trajectory of an object included in at least one of a plurality of target images with reference to the plurality of target images; extract a feature of the trajectory; calculate a reliability of the trajectory based on the feature; generate a virtual label in which each of the plurality of target images, a position of the object included in the target image, the trajectory, and the reliability are associated with each other; and learn a state transition model that predicts a state of an object included in a plurality of images by using the virtual label.

2 . The information processing device according to claim 1 , wherein the one or more processors are further configured to execute the instructions to:
integrate a plurality of trajectories; predict one or a plurality of trajectories of an object included in at least one of a plurality of target images with reference to the plurality of target images; extract a feature of each of the one or a plurality of trajectories; calculate a reliability of each of the one or a plurality of trajectories based on the feature; integrate trajectories having similar features and high reliabilities among the one or a plurality of trajectories; and generate a virtual label in which each of the plurality of target images, a position of the object included in the target image, the integrated trajectory, and the reliability are associated with each other.

3 . The information processing device according to claim 1 , wherein
the one or more processors are further configured to execute the instructions to: predict a trajectory of an object included in at least one of a plurality of target images by inputting the plurality of target images to a prediction model that predicts a trajectory of an object included in a plurality of images using the plurality of images as inputs.

4 . The information processing device according to claim 3 , wherein
the one or more processors are further configured to execute the instructions to: learn the prediction model using the virtual label.

5 . The information processing device according to claim 3 , wherein
the one or more processors are further configured to execute the instructions to: perform knowledge distillation of a state transition model lighter than the prediction model by using the virtual label.

6 . The information processing device according to claim 2 , wherein
the one or more processors are further configured to execute the instructions to: acquire information regarding the object detected by a sensor; and refer to the information to integrate trajectories.

7 . The information processing device according to claim 1 , wherein
the plurality of target images are images captured by a plurality of cameras that capture the object from different positions, and the one or more processors are further configured to execute the instructions to: calibrate postures and camera parameters of the plurality of cameras using the virtual label.

8 . The information processing device according to claim 7 , wherein
the plurality of cameras include a camera that captures the object from above.

9 . An information processing method comprising:
predicting a trajectory of an object included in at least one of a plurality of target images with reference to the plurality of target images; extracting a feature of the trajectory; calculating a reliability of the trajectory based on the feature; generating a virtual label in which each of the plurality of target images, a position of the object included in the target image, the trajectory, and the reliability are associated with each other; and learning a state transition model that predicts a state of an object included in a plurality of images by using the virtual label.

10 . A non-transitory computer-readable recording medium storing a program for causing a computer to execute the steps of:
predicting a trajectory of an object included in at least one of a plurality of target images with reference to the plurality of target images; extracting a feature of the trajectory; calculating a reliability of the trajectory based on the feature; generating a virtual label in which each of the plurality of target images, a position of the object included in the target image, the trajectory, and the reliability are associated with each other; and learning a state transition model that predicts a state of an object included in a plurality of images by using the virtual label.

Assignees

• Nec Corp

Inventors

• Shibata Takashi
• Yoshida Shuhei
• Tanaka Yuki
• Terao Makoto
• Ogawa Takuya
• Yamaguchi Masahiro
• Hosoi Toshinori
• Miyano Hiroyoshi
• Babazaki Yasunori
• Takahashi Toru
• Ando Ryuhei

Classifications

• G06V10/82

  using neural networks · CPC title

• G06V10/40 Primary

  Extraction of image or video features · CPC title