Face detecting and tracking method, method for controlling rotation of robot head and robot
AssigneeUbtech Robotics Corp Ltd
InventorsYuan Ji, Youjun Xiong
Life of this patent
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Abstract
A face detecting and tracking method includes: acquiring an image and performing a face detection to determine one or more face boxes of each acquired image; performing a detection error removing process to the image of current frame, and saving one of the one or more face boxes of the processed image of current frame as a first face box; and determining a tracking box of the image of current frame based an the first face box and a tracked face box, and tracking the face in the tracking box of the image of current frame.
Claims11
A face detecting and tracking method comprising:
- acquiring an image and performing a face detection to determine one or more face boxes of each acquired image;
- performing a detection error removing process to the image of current frame, and saving one of the one or more face boxes of the processed image of current frame as a first face box;
- and
- determining a tracking box of the image of current frame based on the first face box and a tracked face box, and tracking the face in the tracking box of the image of current frame.
A method for controlling rotation of a robot head, comprising:
- determining a tracking box of a first image using a face detecting and tracking method;
- determining if the tracking box of the first image is located at a central area of the first image;
- and
- if no, controlling a robot head to rotate until a tracking box of a second image captured after the first image is located at a central area of the second image.
A robot controlling rotation of a robot head using a method comprising:
- determining a tracking box of a first image using a face detecting and tracking method;
- determining if the tracking box of the first image is located at a central area of the first image;
- and
- if no, controlling a robot head to rotate until a tracking box of a second image captured after the first image is located at a central area of the second image.
Dependencies are inferred from the claim text.