公开(公告)号：US12210687B2

公开(公告)日：2025-01-28

申请号：US17689630

申请日：2022-03-08

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xiaofei Wu ,  Fei Huang ,  Songcen Xu ,  Youliang Yan

IPC: G06V40/20 ,  G06F3/01 ,  G06V10/74 ,  G06V10/82 ,  G06V20/20 ,  G06V40/10

Abstract: The disclosure provides gesture recognition methods and apparatuses, and relate to the field of artificial intelligence. One example gesture recognition method includes obtaining an image stream, and determining, based on a plurality of consecutive frames of hand images in the image stream, whether a user makes a preparatory action. When the user makes the preparatory action, continuing to obtain an image stream, and determining a gesture action of the user based on a plurality of consecutive frames of hand images in the continuously obtained image stream. Next, further responding to the gesture action to implement gesture interaction with the user. In this application, in order to reduce the erroneous recognition occurring in a gesture recognition process, the preparatory action is determined before gesture recognition is performed.

公开(公告)号：US12093465B2

公开(公告)日：2024-09-17

申请号：US17950246

申请日：2022-09-22

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Juwei Lu ,  Sayem Mohammad Siam ,  Wei Zhou ,  Peng Dai ,  Xiaofei Wu ,  Songcen Xu

IPC: G06F3/01 ,  G06V40/20

CPC classification number: G06F3/017 ,  G06V40/20

Abstract: Methods and systems for gesture-based control of a device are described. An input frame is processed to determine a location of a distinguishing anatomical feature in the input frame. A virtual gesture-space is defined based on the location of the distinguishing anatomical feature, the virtual gesture-space being a defined space for detecting a gesture input. The input frame is processed in only the virtual gesture-space, to detect and track a hand. Using information generated from detecting and tracking the at least one hand, a gesture class is determined for the at least one hand. The device may be a smart television, a smart phone, a tablet, etc.

公开(公告)号：US12077176B2

公开(公告)日：2024-09-03

申请号：US16730444

申请日：2019-12-30

Applicant: Huawei Technologies Co., Ltd.

Inventor： Songcen Xu ,  Rongfu Zheng ,  Liangwei Wang ,  Yuzheng Zhuang

IPC: B60W60/00 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20 ,  B60W30/18 ,  G05D1/00

CPC classification number: B60W60/001 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20 ,  B60W30/18163 ,  G05D1/0088

Abstract: A vehicle control apparatus and method includes, when a self-driving vehicle is in a self-driving status, obtaining driving status information of the self-driving vehicle and first driving environment information of the self-driving vehicle; calculating a coarse-grained control instruction of the self-driving vehicle based on the driving status information, the first driving environment information, and a control instruction decision model; determining, based on second driving environment information, whether the coarse-grained control instruction is to be executed; and when the coarse-grained control instruction is to be executed, determining, based on lane information and the driving status information of the self-driving vehicle, a fine-grained control instruction corresponding to the coarse-grained control instruction.

公开(公告)号：US12008797B2

公开(公告)日：2024-06-11

申请号：US17383181

申请日：2021-07-22

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zhi Tian ,  Tong He ,  Chunhua Shen ,  Youliang Yan ,  Songcen Xu ,  Yiren Zhou ,  Xiaofei Wu ,  Jianzhuang Liu

IPC: G06V10/44 ,  G06F18/2135 ,  G06F18/2137 ,  G06F18/214 ,  G06F18/25 ,  G06N3/08 ,  G06T3/40 ,  G06V10/77 ,  G06V10/82

CPC classification number: G06V10/457 ,  G06F18/2135 ,  G06F18/2137 ,  G06F18/214 ,  G06F18/253 ,  G06N3/08 ,  G06T3/40 ,  G06V10/454 ,  G06V10/7715 ,  G06V10/82

Abstract: This application discloses an image segmentation method in the field of artificial intelligence. The method includes: obtaining an input image and a processing requirement; performing multi-layer feature extraction on the input image to obtain a plurality of feature maps; downsampling the plurality of feature maps to obtain a plurality of feature maps with a reference resolution, where the reference resolution is less than a resolution of the input image; fusing the plurality of feature maps with the reference resolution to obtain at least one feature map group; upsampling the feature map group by using a transformation matrix W, to obtain a target feature map group; and performing target processing on the target feature map group based on the processing requirement to obtain a target image.

公开(公告)号：US11917288B2

公开(公告)日：2024-02-27

申请号：US17308535

申请日：2021-05-05

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zhihao Li ,  Xiaofei Wu ,  Songcen Xu ,  Jianzhuang Liu ,  Youliang Yan

IPC: H04N23/63 ,  G06T7/11 ,  G06N3/08

CPC classification number: H04N23/635 ,  G06T7/11 ,  G06N3/08 ,  G06T2207/20132

Abstract: An image processing method includes detecting human skeleton key points of a character in an image, and for the to-be-processed image, generating a cropping region based on the human skeleton key points and a preset rule, and using the to-be-processed image selected by using the cropping region as an output object. The human skeleton key points and the preset rule are set based on photographing experience.

公开(公告)号：US11758285B2

公开(公告)日：2023-09-12

申请号：US17330133

申请日：2021-05-25

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Daxin Luo ,  Fenglong Song ,  Songcen Xu ,  Yi Liu ,  Youliang Yan ,  Jianzhuang Liu ,  Li Qian

IPC: G06T7/246 ,  H04N23/80 ,  G06T7/00 ,  H04N23/63

CPC classification number: H04N23/80 ,  G06T7/0002 ,  G06T7/246 ,  H04N23/63 ,  G06T2207/10016 ,  G06T2207/30168

Abstract: In a method for selecting pictures from a sequence of pictures of an object in motion, a computerized user device determines, for each picture in the sequence of pictures, a value of a motion feature of the object. Based on analyzing the values of the motion feature of the pictures in the sequence, the device identifies a first subset of pictures from the pictures in the sequence. The device then selects, based on a second selection criterion, a second subset of pictures from the first subset of pictures. The pictures in the second subset are displayed to a user for further selection.

公开(公告)号：US20230177800A1

公开(公告)日：2023-06-08

申请号：US18161469

申请日：2023-01-30

Applicant: Huawei Technologies Co., Ltd.

Inventor： Lei Hao ,  Jun Yue ,  Songcen Xu

IPC: G06V10/46 ,  G06V20/70

CPC classification number: G06V10/46 ,  G06V20/70

Abstract: A handheld object recognition method includes obtaining location information of each of one or more detected objects in a to-be-recognized image; obtaining a first label of each detected object indicating a type of the detected object, wherein the type of the detected object is used to represent a handheld relationship of the detected object; obtaining a handheld object from the one or more detected objects based on the first label; and obtaining a recognition result of the handheld object in the to-be-recognized image based on the location information of the handheld object.

公开(公告)号：US11450146B2

公开(公告)日：2022-09-20

申请号：US16776282

申请日：2020-01-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Liang Wang ,  Songcen Xu ,  Chuanjian Liu ,  Jun He

IPC: G06K9/00 ,  G06K9/62 ,  G06F3/01 ,  G06N3/08 ,  G06N20/20 ,  G06V40/20 ,  G06N20/10

Abstract: This application provides a gesture recognition method, and relates to the field of man-machine interaction technologies. The method includes: extracting M images from a first video segment in a video stream; performing gesture recognition on the M images by using a deep learning algorithm, to obtain a gesture recognition result corresponding to the first video segment; and performing result combination on gesture recognition results of N consecutive video segments including the first video segment, to obtain a combined gesture recognition result. In the foregoing recognition process, a gesture in the video stream does not need to be segmented or tracked, but phase actions are recognized by using a deep learning algorithm with a relatively fast calculation speed, and then the phase actions are combined, so as to improve a gesture recognition speed, and reduce a gesture recognition delay.

公开(公告)号：US20210258506A1

公开(公告)日：2021-08-19

申请号：US17308535

申请日：2021-05-05

Applicant: Huawei Technologies Co., Ltd.

Inventor： Zhihao Li ,  Xiaofei Wu ,  Songcen Xu ,  Jianzhuang Liu ,  Youliang Yan

IPC: H04N5/232 ,  G06T7/11

Abstract: An image processing method includes detecting human skeleton key points of a character in an image, and for the to-be-processed image, generating a cropping region based on the human skeleton key points and a preset rule, and using the to-be-processed image selected by using the cropping region as an output object. The human skeleton key points and the preset rule are set based on photographing experience.