公开(公告)号：US11823494B2

公开(公告)日：2023-11-21

申请号：US17494724

申请日：2021-10-05

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Tao Hu ,  Xiangbo Su

IPC: G06V40/20 ,  G06V20/52 ,  G06V10/40 ,  G06V10/75

CPC classification number: G06V40/20 ,  G06V10/40 ,  G06V10/751 ,  G06V20/52

Abstract: A human behavior recognition method, a device, and a storage medium are provided, which are related to the field of artificial intelligence, specifically to computer vision and deep learning technologies, and applicable to smart city scenarios. The method includes: obtaining attribute information of a target object and N pieces of candidate behavior-related information of a target human from a target image, wherein N is an integer greater than or equal to 1; determining target behavior-related information based on comparison results between the N pieces of candidate behavior-related information and the attribute information of the target object; and determining a behavior recognition result of the target human based on the target behavior-related information.

公开(公告)号：US20230017578A1

公开(公告)日：2023-01-19

申请号：US17935712

申请日：2022-09-27

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Xiangbo Su ,  Jian Wang ,  Hao Sun

IPC: G06T7/70 ,  G06V10/44 ,  G06V10/764 ,  G06V10/771 ,  G06V10/80

Abstract: An image processing and model training methods, an electronic device, and a storage medium are provided, and relate to the technical field of artificial intelligence, and in particular to the technical fields of computer vision and deep learning, which can be specifically applied to smart cities and intelligent cloud scenes. The image processing method includes: obtaining at least one first feature map of an image to be processed, wherein feature data of a target pixel in the first feature map is generated according to the target pixel and another pixel within a set range around the target pixel; determining a classification to which the target pixel belongs according to the feature data of the target pixel; and determining a target object corresponding to the target pixel and association information of the target object according to the classification to which the target pixel belongs.