Exhibitors 2022


GoatEye: to see, or not to see, why not both?

GoatEye: to see, or not to see, why not both?

GoatEye provides a new layer of abstraction by producing anonymized video material while maintaining all the non-sensitive information useful for data analytics purposes. Given a video stream, our system produces a corresponding video where people have been replaced with anthropomorphic parametric models. In this way, everybody can process the video with no worries about privacy-related rules by directly exploiting our anthropomorphic models (that already carry out useful non-sensitive information such as posture or behavior) or using their own algorithms directly on the "censored" video.


GoatEye: to see, or not to see, why not both?

Matteo Fabbri, Riccardo Gasparini, Fabio Lanzi, Massimo Garuti, Lorenzo Baraldi, Simone Calderara, Rita Cucchiara

Matteo Fabbri pursued his PhD at the University of Modena and Reggio Emilia under the supervision of Prof. Rita Cucchiara. He is currently a postdoctoral researcher at the University of Modena and Reggio Emilia and CEO of GoatAI. He spent 10 months in Silicon Valley working as a deep learning engineer for Panasonic. His research interests include 3D pose estimation, multiple people tracking, and synthetic datasets.



 Research
  B.09 (pav. B) - Artificial Intelligence and Intelligent systems - consorzio CINI
 2022

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Data updated on 2022-09-28 - 4.06.22 pm