Name
Title | ||
|---|---|---|
Robust Tracking And Behavioral Modeling Of Movements Of Biological Collectives From Ordinary Video Recordings |
Abstract | ||
|---|---|---|
We propose a novel computational method to extract information about interactions among individuals with different behavioral states in a biological collective from ordinary video recordings. Assuming that individuals are acting as finite state machines, our method first detects discrete behavioral states of those individuals and then constructs a model of their state transitions, taking into account the positions and states of other individuals in the vicinity. We have tested the proposed method through applications to two real-world biological collectives: termites in an experimental setting and human pedestrians in a university campus. For each application, a robust tracking system was developed in-house, utilizing interactive human intervention (for termite tracking) or online agent-based simulation (for pedestrian tracking). In both cases, significant interactions were detected between nearby individuals with different states, demonstrating the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/SSCI.2017.8285238 | 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) |
DocType | Volume | Citations |
Conference | abs/1707.07310 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroki Sayama | 1 | 319 | 49.14 |
| Farnaz Zamani Esfahlani | 2 | 1 | 1.30 |
| Ali Jazayeri | 3 | 0 | 1.69 |
| J. Scott Turner | 4 | 25 | 2.88 |