Real-time Prediction of 3D Motion of Person with RGB-D Camera
Kaori Tsunoda, Akihisa Nagata, Yasushi Mae · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2021
The paper describes a method for predicting 3D pose of a person in real-time with RGB-D camera. Three dimensional pose of a person is measured by extracted 2D skeleton on the image and corresponding depth. Motion predictor of RNN is trained by measured 3D pose of a person. 3D pose of a person after several frames is predicted in real-time by inputting time-sequential 3D pose of a person to RNN. Predicted error is evaluated in the experiment.