Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Nicoletta Noceti"'
Autor:
Manuela Chessa, Giorgio Delzanno, Angelo Ferrando, Luca Gelati, Giovanna Guerrini, Viviana Mascardi, Nicoletta Noceti, Francesca Odone, Francesca Vitali
Publikováno v:
Frontiers in Education, Vol 7 (2022)
In this paper, we address the problem of designing new formats of computer science orientation activities to be offered during high school students internships in Computer Science Bachelor degrees. In order to cover a wide range of computer science t
Externí odkaz:
https://doaj.org/article/1103b36519cf450babbdbfbe406bfe77
Autor:
Elena Nicora, Nicoletta Noceti
Publikováno v:
Frontiers in Computer Science, Vol 4 (2022)
In this paper, we investigate the potential of a family of efficient filters—the Gray-Code Kernels (GCKs)—for addressing visual saliency estimation with a focus on motion information. Our implementation relies on the use of 3D kernels applied to
Externí odkaz:
https://doaj.org/article/dda4ebd3308c4fb4bcdbe6070c0625f0
Autor:
Elena Nicora, Gaurvi Goyal, Nicoletta Noceti, Alessia Vignolo, Alessandra Sciutti, Francesca Odone
Publikováno v:
Scientific Data, Vol 7, Iss 1, Pp 1-15 (2020)
Measurement(s) body movement coordination trait • food cooking process Technology Type(s) motion capture • digital camera Factor Type(s) viewpoint Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.
Externí odkaz:
https://doaj.org/article/ee71eb805dcb42ce9784c7873466ca20
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-13 (2018)
Abstract In this paper, we describe a multi-camera system for parcel inspection which detects signs of damages and cues of tampering. The proposed system has been developed within the EU project SAFEPOST as a part of a multi-sensor scanning modality,
Externí odkaz:
https://doaj.org/article/fa8a5bf3f5b242f4973fb3c782f68c6b
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
In the industry of the future, so as in healthcare and at home, robots will be a familiar presence. Since they will be working closely with human operators not always properly trained for human-machine interaction tasks, robots will need the ability
Externí odkaz:
https://doaj.org/article/70fbf645652e42f3b0a81566354bf562
Autor:
Alessia Vignolo, Nicoletta Noceti, Francesco Rea, Alessandra Sciutti, Francesca Odone, Giulio Sandini
Publikováno v:
Frontiers in Robotics and AI, Vol 4 (2017)
One of the fundamental skills supporting safe and comfortable interaction between humans is their capability to understand intuitively each other’s actions and intentions. At the basis of this ability is a special-purpose visual processing that hum
Externí odkaz:
https://doaj.org/article/6812d32aa6e543fc8b29806d15bd8497
Publikováno v:
2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
Publikováno v:
2022 IEEE International Conference on Development and Learning (ICDL).
Autor:
Nicoletta Noceti, Alessia Vignolo, Francesca Odone, Elena Nicora, Alessandra Sciutti, Gaurvi Goyal
Publikováno v:
Scientific Data, Vol 7, Iss 1, Pp 1-15 (2020)
Scientific Data
Scientific Data
MoCA is a bi-modal dataset in which we collect Motion Capture data and video sequences acquired from multiple views, including an ego-like viewpoint, of upper body actions in a cooking scenario. It has been collected with the specific purpose of inve
Autor:
Linda Lastrico, Luca Garello, Francesco Rea, Nicoletta Noceti, Fulvio Mastrogiovanni, Alessandra Sciutti, Alessandro Carfi
Humans have an extraordinary ability to communicate and read the properties of objects by simply watching them being carried by someone else. This level of communicative skills and interpretation, available to humans, is essential for collaborative r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8729598c7bd0ad8fc5843404163282a