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arXiv · 2506.00394

Sequence-Based Identification of First-Person Camera Wearers in Third-Person Views

Ziwei Zhao·Xizi Wang·Yuchen Wang·Feng Cheng·David Crandall
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Abstract

The increasing popularity of egocentric cameras has generated growing interest in studying multi-camera interactions in shared environments. Although large-scale datasets such as Ego4D and Ego-Exo4D have propelled egocentric vision research, interactions between multiple camera wearers remain underexplored-a key gap for applications like immersive learning and collaborative robotics. To bridge this, we present TF2025, an expanded dataset with synchronized first- and third-person views. In addition, we introduce a sequence-based method to identify first-person wearers in third-person footage, combining motion cues and person re-identification.

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Ziwei Zhao, Xizi Wang, Yuchen Wang, Feng Cheng, David Crandall. 2025-05-31. Sequence-Based Identification of First-Person Camera Wearers in Third-Person Views. https://arxiv.org/abs/2506.00394

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