公开(公告)号：US11854237B2

公开(公告)日：2023-12-26

申请号：US17353324

申请日：2021-06-21

Applicant: Beijing Baidu Netcom Science and Technology Co., LTD

Inventor： Zipeng Lu ,  Jian Wang ,  Yuchen Yuan ,  Hao Sun ,  Errui Ding

IPC: G06V10/25 ,  G06V40/10 ,  G06F18/214 ,  G06V10/75 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82

CPC classification number: G06V10/25 ,  G06F18/214 ,  G06V10/757 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82 ,  G06V40/10 ,  G06V40/103

Abstract: A human body identification method, an electronic device and a storage medium, related to the technical field of artificial intelligence such as computer vision and deep learning, are provided. The method includes: inputting an image to be identified into a human body detection model, to obtain a plurality of preselected detection boxes; identifying a plurality of key points from each of the preselected detection boxes respectively according to a human body key point detection model, and obtaining a key point score of each of the key points; determining a target detection box from each of the preselected detection boxes, according to a number of the key points whose key point scores meet a key point threshold; and inputting the target detection box into a human body key point classification model, to obtain a human body identification result for the image to be identified.

公开(公告)号：US11790553B2

公开(公告)日：2023-10-17

申请号：US17355137

申请日：2021-06-22

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

Inventor： Yuchen Yuan

IPC: G06T7/73 ,  G06T7/77 ,  G06N3/04 ,  G06V20/40 ,  G06V20/52 ,  G06V10/764 ,  G06V10/82 ,  G06V40/10

CPC classification number: G06T7/73 ,  G06N3/04 ,  G06T7/77 ,  G06V10/764 ,  G06V10/82 ,  G06V20/46 ,  G06V20/52 ,  G06V40/103 ,  G06T2207/10016 ,  G06T2207/30241 ,  G06V2201/07

Abstract: Embodiments of the present disclosure provide a method and apparatus for detecting a target object, an electronic device, and a computer readable storage medium. The method may include: acquiring a to-be-detected image; processing the to-be-detected image using an object detection model including a deformable convolutional layer to obtain an offset prediction result of the deformable convolutional layer; and adjusting a size of an anchor point using the offset prediction result, and determining position information of the target object in the to-be-detected image using the anchor point of the adjusted size.

公开(公告)号：US20210319231A1

公开(公告)日：2021-10-14

申请号：US17355137

申请日：2021-06-22

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

Inventor： Yuchen Yuan

IPC: G06K9/00 ,  G06T7/77 ,  G06N3/04

Abstract: Embodiments of the present disclosure provide a method and apparatus for detecting a target object, an electronic device, and a computer readable storage medium. The method may include: acquiring a to-be-detected image; processing the to-be-detected image using an object detection model including a deformable convolutional layer to obtain an offset prediction result of the deformable convolutional layer; and adjusting a size of an anchor point using the offset prediction result, and determining position information of the target object in the to-be-detected image using the anchor point of the adjusted size.

公开(公告)号：US20210334985A1

公开(公告)日：2021-10-28

申请号：US17181800

申请日：2021-02-22

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

Inventor： Xiangbo SU ,  Yuchen Yuan ,  Hao Sun

IPC: G06T7/246 ,  G06K9/32 ,  G06T7/73

Abstract: A method and apparatus for tracking a target are provided. The method may include: generating a position of a candidate box of a to-be-tracked target in a to-be-processed image; determining, for a pixel in the to-be-processed image, a probability that each anchor box of at least one anchor box arranged for the pixel includes the to-be-tracked target, and determining a deviation of the candidate box corresponding to the anchor box relative to the anchor box; determining candidate positions of the to-be-tracked target corresponding to the at least two anchor boxes respectively; and combining at least two candidate positions among the determined candidate positions to obtain a position of the to-be-tracked target in the to-be-processed image.

公开(公告)号：US20210312172A1

公开(公告)日：2021-10-07

申请号：US17353324

申请日：2021-06-21

Applicant: Beijing Baidu Netcom Science and Technology Co., LTD

Inventor： Zipeng Lu ,  Jian Wang ,  Yuchen Yuan ,  Hao Sun ,  Errui Ding

IPC: G06K9/00 ,  G06K9/32 ,  G06K9/62

Abstract: A human body identification method, an electronic device and a storage medium, related to the technical field of artificial intelligence such as computer vision and deep learning, are provided. The method includes: inputting an image to be identified into a human body detection model, to obtain a plurality of preselected detection boxes; identifying a plurality of key points from each of the preselected detection boxes respectively according to a human body key point detection model, and obtaining a key point score of each of the key points; determining a target detection box from each of the preselected detection boxes, according to a number of the key points whose key point scores meet a key point threshold; and inputting the target detection box into a human body key point classification model, to obtain a human body identification result for the image to be identified.