公开(公告)号：US11036975B2

公开(公告)日：2021-06-15

申请号：US16220797

申请日：2018-12-14

Applicant: Microsoft Technology Licensing, LLC

Inventor： Noranart Vesdapunt ,  Baoyuan Wang ,  Ying Jin ,  Pierrick Arsenault

IPC: G06K9/00 ,  G06T7/73 ,  G06F3/01 ,  G06N3/08 ,  G06K9/62 ,  G06T1/20

Abstract: Described herein is a human pose prediction system and method. An image comprising at least a portion of a human body is received. A trained neural network is used to predict one or more human features (e.g., joints/aspects of a human body) within the received image, and, to predict one or more human poses in accordance with the predicted one or more human features. The trained neural network can be an end-to-end trained, single stage deep neural network. An action is performed based on the predicted one or more human poses. For example, the human pose(s) can be displayed as an overlay with received image.