Title:
POSTURE ESTIMATION APPARATUS, LEARNING MODEL GENERATION APPARATUS, METHOD, AND COMPUTER-READABLE RECORDINGMEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/153481
Kind Code:
A1
Abstract:
The posture estimation apparatus 30 includes a joint point detection unit 31 that detects joint points of a person in an image, a reference point specifying unit 32 that specifies a preset reference point for each person in the image, an attribution determination unit 33 uses a learning model that machine-learns the relationship between a pixel data and the unit vector of the vector starting from a pixel to the reference point for each pixel in the segmentation region of the person, to obtain a relationship between the detected joint points and the reference point of the each person in the image for each detected joint point, and then to calculate a score indicating the possibility that the joint point belongs to the person in the image based on the obtained relationship, to determine the person in the image to which the joint point belongs by using the calculated score, a posture estimation unit 34 that estimates the posture of the person in the image based on the result of determination by the attribution determination unit 33.
Inventors:
PAN YADONG (JP)
Application Number:
PCT/JP2021/001248
Publication Date:
July 21, 2022
Filing Date:
January 15, 2021
Export Citation:
Assignee:
NEC CORP (JP)
International Classes:
G06T7/00; G06T7/70
Foreign References:
| JP2017097578A | 2017-06-01 | |||
| JP2007199864A | 2007-08-09 | |||
| JP2019191974A | 2019-10-31 |
Other References:
NIE XUECHENG; FENG JIASHI; ZHANG JIANFENG; YAN SHUICHENG: "Single-Stage Multi-Person Pose Machines", 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), IEEE, 27 October 2019 (2019-10-27), pages 6950 - 6959, XP033723756, DOI: 10.1109/ICCV.2019.00705
Attorney, Agent or Firm:
BRIGHTAS IP ATTORNEYS (JP)
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