Abstract
Following a specific user is a desired or even required capability for service robots in many human-robot collaborative applications. However, most existing person-following robots follow people without knowledge of who it is following. In this paper, we proposed an identityspecific person tracker, capable of tracking and identifying nearby people, to enable personspecific following. Our proposed method uses a Sequential Nearest Neighbour with Thresholding Selection algorithm we devised to fuse together an anonymous person tracker and a face
recogniser. Experiment results comparing our proposed method with alternative approaches showed that our method achieves better performance in tracking and identifying people, as well as improved robot performance in following a target individual.
recogniser. Experiment results comparing our proposed method with alternative approaches showed that our method achieves better performance in tracking and identifying people, as well as improved robot performance in following a target individual.
| Original language | English |
|---|---|
| Title of host publication | ACRA 2020 Proceedings |
| Editors | Paulo Borges |
| Place of Publication | Christchurch NZ |
| Publisher | Australian Robotics and Automation Association (ARAA) |
| Pages | 1-9 |
| Number of pages | 9 |
| Publication status | Published - 2020 |
| Event | Australasian Conference on Robotics and Automation 2020 - CSIRO’s Queensland Centre for Advanced Technologies (QCAT), Brisbane, Australia Duration: 8 Dec 2020 → 10 Dec 2020 https://www.araa.asn.au/conference/acra-2020/ https://www.dropbox.com/s/2wq817ubujy1u7e/ACRA2020Proceedings.zip https://research.csiro.au/robotics/acra2020/ |
Conference
| Conference | Australasian Conference on Robotics and Automation 2020 |
|---|---|
| Abbreviated title | ACRA 2020 |
| Country/Territory | Australia |
| City | Brisbane |
| Period | 8/12/20 → 10/12/20 |
| Internet address |