AI RESEARCH
Motion-Driven Multi-Object Tracking of Model Organisms in Space Science Experiments
arXiv CS.CV
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ArXi:2604.26321v1 Announce Type: new Automated animal behavior analysis relies on long-term, interpretable individual trajectories; however, multi-animal tracking in space science experimental videos remains highly challenging due to weak appearance cues, low-quality imaging, complex maneuvering behaviors, and frequent interactions. To address this problem, we first construct the SpaceAnimal-MOT dataset to characterize the motion complexity and long-term identity preservation challenges in biological videos acquired under microgravity conditions.