Motion capture has become a core technology for applications involving virtual digital humans,such as Virtual Streamers(VTubers).This paper proposes a motion-capture and model-driven system that relies on keypoint det...Motion capture has become a core technology for applications involving virtual digital humans,such as Virtual Streamers(VTubers).This paper proposes a motion-capture and model-driven system that relies on keypoint detection performed on edge-computing devices.The system implements independent keypoint detection for multiple body parts and parallel realtime processing on edge devices,enabling real-time keypoint detection of the body,hands,and face.By offloading tasks to edge devices,it reduces the resource footprint of motion capture and lowers deployment costs.Experimental results show that employing edge-computing devices can significantly reduce device load and enable deployment across a variety of platforms.展开更多
文摘Motion capture has become a core technology for applications involving virtual digital humans,such as Virtual Streamers(VTubers).This paper proposes a motion-capture and model-driven system that relies on keypoint detection performed on edge-computing devices.The system implements independent keypoint detection for multiple body parts and parallel realtime processing on edge devices,enabling real-time keypoint detection of the body,hands,and face.By offloading tasks to edge devices,it reduces the resource footprint of motion capture and lowers deployment costs.Experimental results show that employing edge-computing devices can significantly reduce device load and enable deployment across a variety of platforms.
