Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Claudio Piciarelli"'
Autor:
Claudio Piciarelli, Gian Luca Foresti
Publikováno v:
IET Computer Vision, Vol 14, Iss 7, Pp 452-461 (2020)
Swarms of drones are being more and more used in many practical scenarios, such as surveillance, environmental monitoring, search and rescue in hardly‐accessible areas and so on. While a single drone can be guided by a human operator, the deploymen
Externí odkaz:
https://doaj.org/article/732e6ecf982546dbb45f3e19c8a8f83b
Autor:
Antonio Paolo Beltrami, Maria De Martino, Emiliano Dalla, Matilde Clarissa Malfatti, Federica Caponnetto, Marta Codrich, Daniele Stefanizzi, Martina Fabris, Emanuela Sozio, Federica D’Aurizio, Carlo E. M. Pucillo, Leonardo A. Sechi, Carlo Tascini, Francesco Curcio, Gian Luca Foresti, Claudio Piciarelli, Axel De Nardin, Gianluca Tell, Miriam Isola
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 16, p 9161 (2022)
The persistence of long-term coronavirus-induced disease 2019 (COVID-19) sequelae demands better insights into its natural history. Therefore, it is crucial to discover the biomarkers of disease outcome to improve clinical practice. In this study, 16
Externí odkaz:
https://doaj.org/article/6490f29093004c66b4fbd7eb16623a9e
Autor:
Danilo Avola, Luigi Cinque, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Alessio Mecca, Daniele Pannone, Claudio Piciarelli
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1670 (2021)
Tracking objects across multiple video frames is a challenging task due to several difficult issues such as occlusions, background clutter, lighting as well as object and camera view-point variations, which directly affect the object detection. These
Externí odkaz:
https://doaj.org/article/ab78694468e540bd9bace0bb6c9b5484
Autor:
Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Daniele Pannone, Claudio Piciarelli
Publikováno v:
Sensors, Vol 20, Iss 18, p 5365 (2020)
Person re-identification is concerned with matching people across disjointed camera views at different places and different time instants. This task results of great interest in computer vision, especially in video surveillance applications where the
Externí odkaz:
https://doaj.org/article/d336391e0e51485f8ceab3b81792a2fa
Publikováno v:
International journal of neural systems. 32(7)
Image anomaly detection consists in detecting images or image portions that are visually different from the majority of the samples in a dataset. The task is of practical importance for various real-life applications like biomedical image analysis, v
Autor:
Danilo Avola, Daniele Pannone, Niki Martinel, Claudio Piciarelli, Gian Luca Foresti, Luigi Cinque
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 50:2139-2149
In recent years, the technology of small-scale unmanned aerial vehicles (UAVs) has steadily improved in terms of flight time, automatic control, and image acquisition. This has lead to the development of several applications for low-altitude tasks, s
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031133206
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aba9584c28e73ea65b060bd4b9497dbe
http://hdl.handle.net/11390/1230668
http://hdl.handle.net/11390/1230668
Publikováno v:
Sensors, Vol 9, Iss 4, Pp 2252-2270 (2009)
The paper is a survey of the main technological aspects of advanced visual-based surveillance systems. A brief historical view of such systems from the origins to nowadays is given together with a short description of the main research projects in It
Externí odkaz:
https://doaj.org/article/9b078d88999a4366a17596c193ae326c
Publikováno v:
ISIE
We present a transformer-based image anomaly detection and localization network. Our proposed model is a combination of a reconstruction-based approach and patch embedding. The use of transformer networks helps to preserve the spatial information of