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About this paper
Ivan Rodin, Antonino Furnari, Dimitrios Mavroedis, Giovanni Maria Farinella
This survey consolidates research on predicting the future from first-person (egocentric) vision, proposing a unified terminology and systematically reviewing its applications, challenges, datasets, and methodologies. It identifies key research gaps, including the need for standardized benchmarks and more diverse datasets, to advance real-world applications.
Key insights
- Egocentric videos provide a unique perspective valuable for understanding human perception and interaction, offering direct insights into wearer intentions.
- Standardized benchmarks, such as those for short-term action anticipation on EPIC-KITCHENS, are crucial for driving research progress and systematic comparison, with their absence hindering other prediction tasks.
- While datasets are growing in size and richness, they often lack critical modalities (e.g., depth, paired first/third-person views) and diverse real-world scenarios (e.g., industrial, multi-person interactions).
Summary by alphaXiv.
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