METHOD AND SYSTEM OF AUGMENTING A VIDEO FOOTAGE OF A SURVEILLANCE SPACE WITH A TARGET THREE-DIMENSIONAL (3D) OBJECT FOR TRAINING AN ARTIFICIAL INTELLIGENCE (AI) MODEL

摘要

Disclosed is a method for augmenting a video footage of a surveillance space with a target three-dimensional (3D) object from one or more perspectives for training an artificial intelligence (AI) model, comprising: acquiring the video footage from a target camera in the surveillance space; determining a ground plane and screen coordinates of corners of the ground plane; normalizing screen coordinates from the ground plane and determining a relative position of each object in the ground plane; preparing a model of the target 3D object to be used for training the AI model; iteratively generating a random position and a random rotation for the target 3D object in the ground plane for positioning the target 3D object in front of or behind a distractor object from among the objects in the ground plane; rendering the model of the target 3D object on the ground plane and composing the rendered 3D object and the ground plane with the acquired video footage to generate a composited image; and calculating coordinates of a bounding box that frames the relative position of the target 3D object in the composited image.