Behavioral Landmarks: Inferring Interactions from Data
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
CCS Concepts: Computing methodologies → Image representations; Neural networks; Motion processing
@inproceedings{10.2312:egp.20241039,
booktitle = {Eurographics 2024 - Posters},
editor = {Liu, Lingjie and Averkiou, Melinos},
title = {{Behavioral Landmarks: Inferring Interactions from Data}},
author = {Lemonari, Marilena and Charalambous, Panayiotis and Panayiotou, Andreas and Chrysanthou, Yiorgos and Pettré, Julien},
year = {2024},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-239-4},
DOI = {10.2312/egp.20241039}
}