A Motion-Simulation Platform to Generate Synthetic Motion Data for Computer Vision Tasks

A Motion-Simulation Platform to Generate Synthetic Motion Data for Computer Vision Tasks

연구 분야: Artificial Intelligence

학회: SA '23: SIGGRAPH Asia 2023 Technical Communications

We developed the Motion-Simulation Platform, a platform running within a game engine that is able to extract both RGB imagery and the corresponding intrinsic motion data (i.e., motion field). This is useful for motion-related computer vision tasks where large amounts of intrinsic motion data are required to train a model. We describe the implementation and design details of the Motion-Simulation Platform. The platform is extendable, such that any scene developed within the game engine is able to take advantage of the motion data extraction tools. We also provide both user and AI-bot controlled navigation, enabling user-driven input and mass automation of motion data collection.