Bigo Technology Pte. Ltd.

Yifeng Wang

Wei Xiang

Zhujin Liang

Qiushi Huang

Provided is a method for detecting hand key points. The method includes: acquiring a hand image to be detected; acquiring heat maps of the hand key points by inputting the hand image into a pre-trained heat map model, wherein the heat maps include two-dimensional coordinates of the hand key points; acquiring hand structured connection information by inputting the heat maps and the hand image into a pre-trained three-dimensional information prediction model; and determining, based on the hand structured connection information and the two-dimensional coordinates in the heat maps, three-dimensional coordinates of the hand key points in a world coordinate system.

Method for detecting hand key points, method for recognizing gesture, and related devices

Provided is a human posture detection method including: acquiring a plurality of frames of image data; acquiring a plurality of human posture reference maps output by a human posture detection model responsive to inputting a current frame of image data to the human posture detection model with reference to human posture confidence maps of a previous frame of image data, wherein different human posture reference maps correspond different human-posture key points; identifying a human-posture key point in each of the human posture reference maps; and generating human posture confidence maps of the current frame of image data based on credibility of the human-posture key points, wherein the human posture confidence maps of the current frame of image data is configured to participate in generation of human posture confidence maps of a next frame of image data.

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Guangzhou, China

Yifeng Wang