Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Fiora Pirri"'
Publikováno v:
IEEE Access, Vol 9, Pp 12019-12026 (2021)
Human action recognition is one of the most pressing questions in societal emergencies of any kind. Technology is helping to solve such problems at the cost of stealing human privacy. Several approaches have considered the relevance of privacy in the
Externí odkaz:
https://doaj.org/article/82de210728d64ba7b1e2bbd753109e6d
Autor:
Benjamin Franchetti, Fiora Pirri
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Recent years have seen an increased effort in the detection of plant stresses and diseases using non-invasive sensors and deep learning methods. Nonetheless, no studies have been made on dense plant canopies, due to the difficulty in automatically zo
Externí odkaz:
https://doaj.org/article/905943eac2d1472b9af9b9b804ff5865
Publikováno v:
PLoS ONE, Vol 14, Iss 4, p e0214499 (2019)
We present a novel framework for the automatic discovery and recognition of motion primitives in videos of human activities. Given the 3D pose of a human in a video, human motion primitives are discovered by optimizing the 'motion flux', a quantity w
Externí odkaz:
https://doaj.org/article/a4567aaa6e33448d9c0826989c1798cd
Autor:
Benjamin Franchetti, Valsamis Ntouskos, Pierluigi Giuliani, Tiara Herman, Luke Barnes, Fiora Pirri
Publikováno v:
Sensors, Vol 19, Iss 20, p 4378 (2019)
In this paper, we present a novel method for vision based plants phenotyping in indoor vertical farming under artificial lighting. The method combines 3D plants modeling and deep segmentation of the higher leaves, during a period of 25−30 days, rel
Externí odkaz:
https://doaj.org/article/295300fc8225426c974119bffc8fccee
Autor:
Alessandro Sebastianelli, Erika Puglisi, Maria Pia Del Rosso, Jamila Mifdal, Artur Nowakowski, Pierre Philippe Mathieu, Fiora Pirri, Silvia Liberata Ullo
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2b616623b74824a009f29568cb62f49
https://doi.org/10.1109/tgrs.2022.3208694
https://doi.org/10.1109/tgrs.2022.3208694
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200557
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::346c44edee062b586d4ed267f9960bfd
https://doi.org/10.1007/978-3-031-20056-4_26
https://doi.org/10.1007/978-3-031-20056-4_26
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de3ac1af3cc43069872e24f111f4e55b
https://doi.org/10.1109/iccvw54120.2021.00146
https://doi.org/10.1109/iccvw54120.2021.00146
Publikováno v:
IEEE Robotics and Automation Letters
In the context of mobile manipulator teleoperation, intuitive control interfaces are fundamental not only to reduce the operator's workload, but also to improve the situational awareness during the task execution. In the case of object exploration ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cbe8e959e62e2164b22a3a0efba74a6
https://doi.org/10.1109/lra.2019.2897172
https://doi.org/10.1109/lra.2019.2897172
Publikováno v:
IEEE Access, Vol 9, Pp 12019-12026 (2021)
Human action recognition is one of the most pressing questions in societal emergencies of any kind. Technology is helping to solve such problems at the cost of stealing human privacy. Several approaches have considered the relevance of privacy in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e2447083ea818d86a50e1e5e747fb9a
http://hdl.handle.net/11573/1541184
http://hdl.handle.net/11573/1541184
The logic of Industry 4.0 foresees humans and robots as indistinguishable parts of a larger heterogeneous body of distributed autonomous and cooperative entities. Under such a perspective, robots are endowed with self and environment awareness and ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8c5b48bae344a4c387e4b993807d747