Patent ID: 11900676
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. The method according to claim 1, wherein the first neural network is trained by using the following operations:
determining a first training set required to train the first neural network, the first training set comprising a first training video, the first training video comprising a first training frame and a second training frame after the first training frame, and the first training frame and the second training frame comprising a to-be-detected training target;
determining a real change of the training target between the first training frame and the second training frame;
applying the target detection operation to the first training frame, to determine a first training detection result of the training target in the first training frame;
applying the target tracking operation to the second training frame by using the first neural network, to determine a first change of the training target between the first training frame and the second training frame;
determining a difference between the first change and the real change;
determining a second change of the training target between the first training frame and the second training frame according to an output of at least one intermediate layer of the first neural network;
determining a difference between the second change and the real change; and
adjusting a parameter of the first neural network to minimize the difference between the first change and the real change and the difference between the second change and the real change.