AI RESEARCH
Zero-Shot Multi-Animal Tracking in the Wild
arXiv CS.CV
•
ArXi:2511.02591v2 Announce Type: replace Multi-animal tracking is crucial for understanding animal ecology and behavior, yet remains challenging due to variations in habitat, motion patterns, and species appearance. Traditional approaches typically require extensive fine-tuning and heuristic design for each new scenario. In this work, we explore vision foundation models for zero-shot multi-animal tracking. Building on SAM2MOT, we combine Grounding DINO with the Segment Anything Model2 (SAM 2) and.