Behavioral Landmarks: Inferring Interactions from Data
| dc.contributor.author | Lemonari, Marilena | en_US |
| dc.contributor.author | Charalambous, Panayiotis | en_US |
| dc.contributor.author | Panayiotou, Andreas | en_US |
| dc.contributor.author | Chrysanthou, Yiorgos | en_US |
| dc.contributor.author | Pettré, Julien | en_US |
| dc.contributor.editor | Liu, Lingjie | en_US |
| dc.contributor.editor | Averkiou, Melinos | en_US |
| dc.date.accessioned | 2024-04-30T08:21:04Z | |
| dc.date.available | 2024-04-30T08:21:04Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | We aim to unravel complex agent-environment interactions from trajectories, by explaining agent paths as combinations of predefined basic behaviors. We detect trajectory points signifying environment-driven behavior changes, ultimately disentangling interactions in space and time; our framework can be used for environment synthesis and authoring, shown by our case studies. | en_US |
| dc.description.sectionheaders | Posters | |
| dc.description.seriesinformation | Eurographics 2024 - Posters | |
| dc.identifier.doi | 10.2312/egp.20241039 | |
| dc.identifier.isbn | 978-3-03868-239-4 | |
| dc.identifier.issn | 1017-4656 | |
| dc.identifier.pages | 2 pages | |
| dc.identifier.uri | https://doi.org/10.2312/egp.20241039 | |
| dc.identifier.uri | https://diglib.eg.org/handle/10.2312/egp20241039 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | CCS Concepts: Computing methodologies → Image representations; Neural networks; Motion processing | |
| dc.subject | Computing methodologies → Image representations | |
| dc.subject | Neural networks | |
| dc.subject | Motion processing | |
| dc.title | Behavioral Landmarks: Inferring Interactions from Data | en_US |