Name
Title | ||
|---|---|---|
Simultaneous Tracking and Activity Recognition (STAR) using Advanced Agent-Based Behavioral Simulations. |
Abstract | ||
|---|---|---|
Tracking and understanding moving pedestrian behaviors is of major concern for a growing number of applications. Classical approaches either consider both problems separately or treat them simultaneously on the basis of limited contextual graphical models. In this paper, we consider tackling both problems jointly based on richer contextual information issued from agent-based behavioral simulators designed for realistically reproducing human behaviors within complex environments. We focus on the single target case and experimentally show that the proposed approach keeps good performances even in case of long periods of occlusion. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.3233/978-1-61499-419-0-1105 | Frontiers in Artificial Intelligence and Applications |
Field | DocType | Volume |
Pedestrian,Contextual information,Activity recognition,Computer science,Artificial intelligence,Human behavior,Graphical model,Machine learning | Conference | 263 |
ISSN | Citations | PageRank |
0922-6389 | 0 | 0.34 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arsène Fansi Tchango | 1 | 6 | 1.94 |
| Thomas Vincent | 2 | 320 | 27.52 |
| Olivier Buffet | 3 | 258 | 26.77 |
| Fabien Flacher | 4 | 33 | 4.98 |
| Alain Dutech | 5 | 86 | 11.37 |