Mobile equipment human body pose estimation method based on three-dimensional skeleton extraction

The invention discloses a mobile equipment human body pose estimation method based on three-dimensional skeleton extraction. The method comprises the steps: putting a human body video into a light-weight human body skeleton recognition model, and obtaining 2D articulation points; mapping the obtained 2D articulation points through a regression device constructed by a neural network to obtain 3D articulation points in a space; calculating an interlimb joint angle of the photographed person according to the obtained coordinate information of the 3D joint points; judging the pose of the photographed person and the photographing position of the photographing equipment according to the inter-limb joint angle of the photographed person and the position information of the 3D joint points; and mapping 2D human body articulation points obtained by the lightweight human body skeleton recognition model to 3D human body articulation points in a three-dimensional space through a deep neural networkregression device, thereby increasing the dimension of geometric information of the 2D human body articulation points. The limb included angle is calculated based on the geometrical relationship of the 3D human body articulation points, and the pose of the human body and the shooting position of the mobile equipment are effectively predicted according to the limb included angle and the position relationship of the articulation points.