Patent ID: 11908222
Assignee: HANGZHOU DIANZI UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 6:
7. The method according to claim 6, wherein the method of obtaining the final features of pedestrian key-points ƒƒ_keypoints in step (3) comprises:
by using the adjacency matrix of pedestrian key-points A and the local feature group ƒkp_en as the input of the graph convolutional network, outputting the final features of pedestrian key-points ƒƒ_keypoints by the graph convolutional network, as shown in equation (14):

ƒƒ_keypoints=GCN(A,ƒkp_en)  (14)

wherein GCN is the graph convolutional network, and λ is a predefined adjacency matrix of human key-points.