Exhibitors 2022



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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)
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Data updated on 2024-09-15 - 5.33.27 am
Promoted by
SUPPORTED BY
IN COLLABORATION WITH
supported by
in partnership with
Thanks to
in partnership with
Main Partner
Gold partner
Silver partner
bronze partner
Bronze partner
Cybersecurity Expert
Official Car
main media partner
MAIN MEDIA partner
press & digital
media partner
technical media partner
media partner
Technical media partner
PADEL TECHNICAL PARTNER
with the free patronage of

testimonials