Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Marco Cascio"'
Autor:
Danilo Avola, Irene Cannistraci, Marco Cascio, Luigi Cinque, Anxhelo Diko, Alessio Fagioli, Gian Luca Foresti, Romeo Lanzino, Maurizio Mancini, Alessio Mecca, Daniele Pannone
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4110 (2022)
The last two decades have seen an incessant growth in the use of Unmanned Aerial Vehicles (UAVs) equipped with HD cameras for developing aerial vision-based systems to support civilian and military tasks, including land monitoring, change detection,
Externí odkaz:
https://doaj.org/article/74783ab336fb421598e685eedc35509b
Publikováno v:
IEEE Transactions on Information Forensics and Security. 17:1145-1158
Autor:
Cristiano Massaroni, Luigi Cinque, Marco Cascio, Gian Luca Foresti, Danilo Avola, Emanuele Rodolà
Publikováno v:
IEEE Transactions on Multimedia. 22:2481-2496
Action recognition in video sequences is an interesting field for many computer vision applications, including behavior analysis, event recognition, and video surveillance. In this article, a method based on 2D skeleton and two-branch stacked Recurre
Autor:
Danilo Avola, Marco Cascio, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Daniele Pannone
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14aadb9e2ef5110467e4ceb9f838bea7
https://doi.org/10.1007/978-3-031-06427-2_28
https://doi.org/10.1007/978-3-031-06427-2_28
The increasing availability of wireless access points (APs) is leading toward human sensing applications based on Wi-Fi signals as support or alternative tools to the widespread visual sensors, where the signals enable to address well-known vision-re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7d22d3501a4fd546cf2d254c1dfa516
http://hdl.handle.net/11390/1222720
http://hdl.handle.net/11390/1222720
Autor:
Danilo Avola, Marco Cascio, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Fabrizio Rossi
Publikováno v:
Computers & Industrial Engineering. 172:108512
In recent years, the spread of video sensor networks both in public and private areas has grown considerably. Smart algorithms for video semantic content understanding are increasingly developed to support human operators in monitoring different acti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eee2dab1c1706f31efbd462298626b7
http://hdl.handle.net/11390/1208832
http://hdl.handle.net/11390/1208832
Publikováno v:
International journal of neural systems. 31(2)
Deception detection is a relevant ability in high stakes situations such as police interrogatories or court trials, where the outcome is highly influenced by the interviewed person behavior. With the use of specific devices, e.g. polygraph or magneti
Autor:
Alessio Fagioli, Cristiano Massaroni, Danilo Avola, Gian Luca Foresti, Luigi Cinque, Marco Cascio
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783030298906
CAIP (2)
CAIP (2)
Recognizing different visual signatures of people across non-overlapping cameras is still an open problem of great interest for the computer vision community, especially due to its importance in automatic video surveillance on large-scale environment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11fc1bb14250f7913457d17750d645e8
http://hdl.handle.net/11573/1350656
http://hdl.handle.net/11573/1350656
Autor:
Marco Bernardi, Marco Cascio, Danilo Avola, Cristiano Massaroni, Luigi Cinque, Gian Luca Foresti
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030306410
ICIAP (1)
ICIAP (1)
Background modeling is a preliminary task for many computer vision applications, describing static elements of a scene and isolating foreground ones. Defining a robust background model of uncontrolled environments is a current challenge since the mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73af72c0c75ca8f5ecf9413ddc879b54
http://hdl.handle.net/11573/1345892
http://hdl.handle.net/11573/1345892