公开(公告)号：US20240185590A1

公开(公告)日：2024-06-06

申请号：US17797034

申请日：2021-05-31

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Rui ZHENG ,  Xiaojun TANG ,  Zhanfu AN ,  Guangwei HUANG

IPC: G06V10/82 ,  G06V10/77 ,  G06V10/80

CPC classification number: G06V10/82 ,  G06V10/7715 ,  G06V10/806

Abstract: A method for training an object detection model includes: firstly obtaining M sample image sets; then, obtaining an initial object detection model; and finally, training the initial object detection model by using the M sample image sets to obtain the object detection model. A sample image set includes at least one sample image and object type(s) of object(s) in each sample image. An object type corresponds to one sample image set, and the M sample image sets correspond to N object types.

公开(公告)号：US20220358705A1

公开(公告)日：2022-11-10

申请号：US17620596

申请日：2021-02-09

Applicant: BOE Technology Group Co., Ltd.

Inventor： Rui ZHENG ,  Fengshuo HU

IPC: G06T13/40 ,  G06V10/44 ,  G06T7/70

Abstract: The present disclosure provides a method for generating an animation figure, a device and a storage medium. The method includes: acquiring an image including at least one target object; acquiring position information about key points of the target object in the image; determining target angle information about lines connecting the key points in accordance with the position information about the key points; and adjusting a predetermined animation figure in accordance with the target angle information. A pose of a target animation figure acquired through adjustment is identical to a pose of the target object in the image, and the target animation figure corresponds to the target object.

公开(公告)号：US20220319234A1

公开(公告)日：2022-10-06

申请号：US17426110

申请日：2021-01-12

Applicant: BOE Technology Group Co., Ltd.

Inventor： Fengshuo HU ,  Bingchuan SHI ,  Rui ZHENG

IPC: G06V40/20 ,  G06V10/25 ,  G06V20/40 ,  G06T7/70

Abstract: An object behavior analysis method includes: acquiring multiple frames of images to be processed from a video of a target scene; detecting at least one first-type object in any frame of image to be processed, and determining key point information of any first-type object; determining key point merging information of any first-type object in a present image according to key point information of first-type objects in the present image and a reference image group, the present image being any frame of image to be processed during present processing, and the reference image group including at least one frame of image to be processed before the present image; and determining a behavior analysis result of any first-type object in the present image according to the key point merging information of the first-type object in the present image.

公开(公告)号：US20240355095A1

公开(公告)日：2024-10-24

申请号：US18291391

申请日：2023-02-24

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Xiaojun TANG ,  Rui ZHENG ,  Ruijiao SHI

IPC: G06V10/774 ,  G06V10/40 ,  G06V10/764 ,  G06V10/77 ,  G06V10/776 ,  G06V10/778 ,  G06V10/80 ,  G06V10/82 ,  G06V20/70

CPC classification number: G06V10/774 ,  G06V10/40 ,  G06V10/764 ,  G06V10/7715 ,  G06V10/776 ,  G06V10/778 ,  G06V10/806 ,  G06V10/82 ,  G06V20/70

Abstract: An object detection method includes: acquiring an image to be detected; and processing the image to be detected by using an object detection model to obtain an object detection result corresponding to a target object to be detected in the image to be detected. The object detection model includes a feature extraction network and an object detection network. The feature extraction network is used to extract features of the image to be detected to obtain image features related to multiple classes of tar-get objects, and the object detection network is used to process the image features to obtain the object detection result. The object detection network includes a class channel layer, multiple object channel layers and multiple box channel layers.

公开(公告)号：US20220357843A1

公开(公告)日：2022-11-10

申请号：US17763181

申请日：2021-04-29

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Honghong JIA ,  Rui ZHENG ,  Ruibin XUE

IPC: G06F3/04883 ,  G06V30/32 ,  G06F3/0354 ,  G06F3/041

Abstract: A handwriting processing method, a touch display device, a computer device, and a storage medium are provided. The handwriting processing method includes: determining, according to a sample point in a writing track that is input by a user by means of a touch display, a group of track points and a related parameter of each track point, the related parameter including a coordinate parameter and a time parameter; determining, according to the related parameter of each track point, a start position, an end position, and a type of a stroke contained in the writing track, where the type of the stroke includes one of a horizontal stroke, a vertical stroke, a left-falling stroke, a right-falling stroke or a lifting stroke; and determining, according to the type of the stroke, a shape of the start position of the stroke.