| Título |
3-D Human Body Posture Reconstruction by Computer Vision |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
18th Mexican International Conference on Artificial Intelligence, MICAI 2019 |
| Resumen |
Human limb movement sensing is crucial in different areas of science. In this paper, a method for sensing human limb movement and the subsequent reconstruction in a 3-D plane is described. The sensors used in this task are four Microsoft Kinect, which has depth and RGB cameras. Depth images are processed by artificial vision algorithms to delimit an area where the movements will be performed. In the other hand, RGB images are processed by a Convolutional Neural Network to acquire a series of specific points which correspond to the human body’s joints. A comparison of the proposed algorithm performance is also described. The equations that relate the information in two dimensions are obtained by processing the four sensors are used to generate a skeleton in 3-D. |
| Observaciones |
DOI 10.1007/978-3-030-33749-0_46
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Lugar |
Xalapa |
| País |
Mexico |
| No. de páginas |
579-588 |
| Vol. / Cap. |
11835 LNAI |
| Inicio |
2019-10-27 |
| Fin |
2019-11-02 |
| ISBN/ISSN |
9783030337483 |
