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Hugging Face Trending Papers

Learning to Understand Body Language from Flight through Robust 3D Avatar Placing

Read the original on Hugging Face Trending Papers →

Perceiving human motion and intent at long range is a prerequisite for socially intelligent aerial robots, yet the data to learn it barely exists. We introduce Drones2BodyLanguage, a dataset grounding human motion in real UAV footage: avatars manifesting ten communicative intents are placed into unmodified 4K drone scenes with metrically correct position, scale and orientation, maintained over hundreds of frames of camera motion.

Summary generated by The Flow from the publisher's feed. The full article lives at Hugging Face Trending Papers.

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