公开(公告)号：US20240233140A9

公开(公告)日：2024-07-11

申请号：US18049473

申请日：2022-10-25

Applicant: QUALCOMM Incorporated

Inventor： Xin Li ,  Jiancheng Lyu ,  Yingyong Qi

IPC: G06T7/215 ,  G06T7/11 ,  G06T7/246

CPC classification number: G06T7/215 ,  G06T7/11 ,  G06T7/248 ,  G06T2207/10016 ,  G06T2207/20084

Abstract: Methods and systems of frame based image segmentation are provided. For example, a method for feature object tracking between frames of video data is provided. The method comprises receiving a first frame of video data, extracting a mask feature for each of one or more objects of the first frame, adjusting the first frame by applying each initial mask and corresponding identification to a respective object of the first frame, and outputting the adjusted first frame. The method further comprises tracking the one or more objects in one or more consecutive frames. The tracking comprises extracting a masked feature for each of one or more objects in the consecutive frame, adjusting the consecutive frame by applying each initial mask and corresponding identification for the consecutive frame to the respective object of the one or more objects of the consecutive frame, and outputting the adjusted consecutive frame.

公开(公告)号：US20240135549A1

公开(公告)日：2024-04-25

申请号：US18049473

申请日：2022-10-24

Applicant: QUALCOMM Incorporated

Inventor： Xin Li ,  Jiancheng Lyu ,  Yingyong Qi

IPC: G06T7/215 ,  G06T7/11 ,  G06T7/246

CPC classification number: G06T7/215 ,  G06T7/11 ,  G06T7/248 ,  G06T2207/10016 ,  G06T2207/20084

Abstract: Methods and systems of frame based image segmentation are provided. For example, a method for feature object tracking between frames of video data is provided. The method comprises receiving a first frame of video data, extracting a mask feature for each of one or more objects of the first frame, adjusting the first frame by applying each initial mask and corresponding identification to a respective object of the first frame, and outputting the adjusted first frame. The method further comprises tracking the one or more objects in one or more consecutive frames. The tracking comprises extracting a masked feature for each of one or more objects in the consecutive frame, adjusting the consecutive frame by applying each initial mask and corresponding identification for the consecutive frame to the respective object of the one or more objects of the consecutive frame, and outputting the adjusted consecutive frame.

公开(公告)号：US11636694B2

公开(公告)日：2023-04-25

申请号：US17185800

申请日：2021-02-25

Applicant: QUALCOMM Incorporated

Inventor： Xin Li ,  Chun-Ting Huang ,  Lei Wang ,  Ning Bi

IPC: G06K9/62 ,  G06V20/59 ,  G06V20/40 ,  G06F18/214 ,  G06F18/20

Abstract: Systems and techniques are provided for performing video-based activity recognition. For example, a process can include extracting, using a first machine learning model, first one or more features from a first frame and second one or more features from a second frame. The first one or more features and the second one or more features are associated with a person driving a vehicle. The process can include processing, using a second machine learning model, the first one or more features and the second one or more features. The process can include determining, based on processing of the first one or more features and the second one or more features using the second machine learning model, at least one activity associated with the person driving the vehicle.