The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 17, 2024

Filed:

Jan. 27, 2022
Applicant:

Huawei Technologies Co., Ltd., Guangdong, CN;

Inventors:

Qixiang Ye, Beijing, CN;

Tianliang Zhang, Shenzhen, CN;

Jianzhuang Liu, Shenzhen, CN;

Xiaopeng Zhang, Shanghai, CN;

Qi Tian, Shenzhen, CN;

Lihui Jiang, Shenzhen, CN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06F 18/25 (2023.01); G06N 3/045 (2023.01); G06V 10/20 (2022.01); G06V 10/77 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 20/52 (2022.01); G06V 20/58 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 18/253 (2023.01); G06N 3/045 (2023.01); G06V 10/255 (2022.01); G06V 10/7715 (2022.01); G06V 10/806 (2022.01); G06V 10/809 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 20/52 (2022.01); G06V 20/58 (2022.01); G06V 40/10 (2022.01);
Abstract

This application relates to the field of artificial intelligence and the field of computer vision. The method includes performing feature extraction on an image to obtain a basic feature map of the image, and determining a proposal of a region possibly including a pedestrian in the image. The basic feature map of the image is then processed to obtain an object visibility map in which a response to a pedestrian visible part is greater than a response to a pedestrian blocked part and a background part. The method further performs weighted summation processing on the object visibility map and the basic feature map to obtain an enhanced feature map of the image, and determines, based on the proposal of the image and the enhanced feature map of the image, a bounding box including a pedestrian in the image and a confidence level of the bounding box including the pedestrian.


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