Robust tracking and behavioral modeling of movements of biological collectives from ordinary video recordings

Hiroki Sayama, Farnaz Zamani Esfahlani, Ali Jazayeri, J. Scott Turner

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-8
ページ数8
ISBN(電子版)9781538627259
DOI
出版ステータスPublished - 2018 2 2
外部発表はい
イベント2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Honolulu, United States
継続期間: 2017 11 272017 12 1

出版物シリーズ

名前2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
2018-January

Other

Other2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017
国/地域United States
CityHonolulu
Period17/11/2717/12/1

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • 制御と最適化

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