Motion Segmentation using Visual and Bio-mechanical Features

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Nowadays, egocentric wearable devices are continuously increasing their widespread among both the academic community and the general public. For this reason, methods capable of automatically segment the video based on the recorder motion patterns are gaining attention. These devices present the unique opportunity of both high quality video recordings and multimodal sensors readings. Significant efforts have been made in either analyzing the video stream recorded by these devices or the bio-mechanical sensor information. So far, the integration between these two realities has not been fully addressed, and the real capabilities of these devices are not yet exploited.

Dataset and Source Code:

Dataset: Data

Sources: Acquisition, Experiments

If you use the provided material for your work, please cite our paper (PDF):

@inproceedings{alletto2016motion,
  title={Motion Segmentation using Visual and Bio-mechanical Features},
  author={Alletto, Stefano and Serra, Giuseppe and and Cucchiara, Rita},
  booktitle={ACM Multimedia (ACM MM)},
  year={2016}
}