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Found 3 papers, 2 papers with code
A benchmark for computational analysis of animal behavior, using animal-borne tags
Animal-borne sensors ('bio-loggers') can record a suite of kinematic and environmental data, which can elucidate animal ecophysiology and improve conservation efforts.
Learning interaction rules from multi-animal trajectories via augmented behavioral models
In this paper, we propose a new framework for learning Granger causality from multi-animal trajectories via augmented theory-based behavioral models with interpretable data-driven models.
Improved Activity Forecasting for Generating Trajectories
An efficient inverse reinforcement learning for generating trajectories is proposed based of 2D and 3D activity forecasting.
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