2021 IEEE International Conference on Image Processing
19-22 September 2021 • Anchorage, Alaska, USA
Imaging Without Borders
| Paper ID | IFS-2.9 | ||
| Paper Title | End-to-end pairwise human proxemics from uncalibrated single images | ||
| Authors | Pietro Morerio, Matteo Bustreo, Yiming Wang, Alessio del Bue, Istituto Italiano di Tecnologia, Italy | ||
| Session | IFS-2: Information Forensics and Security | ||
| Location | Area K | ||
| Session Time: | Monday, 20 September, 15:30 - 17:00 | ||
| Presentation Time: | Monday, 20 September, 15:30 - 17:00 | ||
| Presentation | Poster | ||
| Topic | Information Forensics and Security: Surveillance | ||
| IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
| Abstract | In this work, we address the ill-posed problem of estimating pairwise metric distances between people using only a single uncalibrated image. We propose an end-to-end model, DeepProx, that takes as inputs two skeletal joints as a set of 2D image coordinates and outputs the metric distance between them. We show that an increased performance is achieved by a geometrical loss over simplified camera parameters provided at training time. Further, DeepProx achieves a remarkable generalisation over novel viewpoints through domain generalisation techniques. We validate our proposed method quantitatively and qualitatively against baselines on public datasets for which we provided groundtruth on interpersonal distances. | ||