Patent ID: 11869212
Assignee: DEEPING SOURCE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. A method of training a video object detection model using a training dataset, comprising steps of:
(a) in response to acquiring a training video from the training dataset, a learning device performs one of processes of (i) (i-1) inputting (i-1-1) a (t−i)-th frame image, which is any one of frame images prior to a t-th frame image, or a (t+j)-th frame image, which is any one of frame images following the t-th frame image, wherein the t-th frame image is any one of a plurality of frame images constituting the training video, and wherein i and j are integers greater than 0, and (i-1-2) first prior information, set as having each of probabilities of each of objects existing in each of locations in the (t−i)-th frame image or the (t+j)-th frame image, into the video object detection model, to thereby instruct the video object detection model to detect the objects from the (t−i)-th frame image or the (t+j)-th frame image by referring to the first prior information and thus output first object detection information, and (i-2) generating second prior information, which includes multiple pieces of location information of the objects on the (t−i)-th frame image or the (t+j)-th frame image, by using the first object detection information, and (ii) generating the second prior information, which includes multiple pieces of the location information of the objects on the (t−i)-th frame image or the (t+j)-th frame image, by using a (t−i)-th ground truth corresponding to the (t−i)-th frame image or a (t+j)-th ground truth corresponding to the (t+j)-th frame image;
(b) the learning device inputting the t-th frame image and the second prior information into the video object detection model, to thereby instruct the video object detection model to detect the objects on the t-th frame image by referring to the second prior information and thus output second object detection information; and
(c) the learning device generating at least one loss by referring to the second object detection information and a t-th ground truth corresponding to the t-th frame image, to thereby train the video object detection model to minimize the loss.