Web: http://arxiv.org/abs/2209.08691

Sept. 20, 2022, 1:13 a.m. | Francesco Ragusa, Antonino Furnari, Giovanni Maria Farinella

cs.CV updates on arXiv.org arxiv.org

Wearable cameras allow to acquire images and videos from the user's
perspective. These data can be processed to understand humans behavior. Despite
human behavior analysis has been thoroughly investigated in third person
vision, it is still understudied in egocentric settings and in particular in
industrial scenarios. To encourage research in this field, we present MECCANO,
a multimodal dataset of egocentric videos to study humans behavior
understanding in industrial-like settings. The multimodality is characterized
by the presence of gaze signals, depth …

arxiv behavior dataset humans industrial multimodal understanding

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