Deep Learning-Based Multi-Animal Tracking for Behavioral Analysis: From Identity Preservation and Pose Estimation to Social Interaction Inference
- DOI
- 10.3390/ani16203191
- Published
- 2026-10-11
- Container
- Animals
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/ani16203191,
title = {Deep Learning-Based Multi-Animal Tracking for Behavioral Analysis: From Identity Preservation and Pose Estimation to Social Interaction Inference},
author = {Susumu Takahashi and Hirotsugu Azechi},
year = {2026},
journal = {Animals},
doi = {10.3390/ani16203191},
url = {https://doi.org/10.3390/ani16203191}
}RIS
TY - JOUR TI - Deep Learning-Based Multi-Animal Tracking for Behavioral Analysis: From Identity Preservation and Pose Estimation to Social Interaction Inference AU - Susumu Takahashi AU - Hirotsugu Azechi PY - 2026 JO - Animals DO - 10.3390/ani16203191 UR - https://doi.org/10.3390/ani16203191 ER -
APA
Takahashi, S., & Azechi, H. (2026). Deep Learning-Based Multi-Animal Tracking for Behavioral Analysis: From Identity Preservation and Pose Estimation to Social Interaction Inference. Animals. https://doi.org/10.3390/ani16203191
Source records
- crossref · retrieved 2026-11-08T15:10:16.578Z