Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Liliana Lo Presti"'
Publikováno v:
IEEE Access, Vol 9, Pp 120880-120900 (2021)
This paper aims at highlighting cutting-edge research results in the field of visual tracking by deep reinforcement learning. Deep reinforcement learning (DRL) is an emerging area combining recent progress in deep and reinforcement learning. It is sh
Externí odkaz:
https://doaj.org/article/e51e0b25e5a24fe4a4390c76ef091ee1
Publikováno v:
Journal of Imaging, Vol 8, Iss 3, p 61 (2022)
Single-object visual tracking aims at locating a target in each video frame by predicting the bounding box of the object. Recent approaches have adopted iterative procedures to gradually refine the bounding box and locate the target in the image. In
Externí odkaz:
https://doaj.org/article/ca32fae272064f3aac238f1628e7f82c
Publikováno v:
Journal of Imaging, Vol 7, Iss 8, p 158 (2021)
Omnidirectional (or 360°) cameras are acquisition devices that, in the next few years, could have a big impact on video surveillance applications, research, and industry, as they can record a spherical view of a whole environment from every perspect
Externí odkaz:
https://doaj.org/article/5853c9abcc9b4f2d96d1838d1555d345
Autor:
Mohamed Chetouani, Liliana Lo Presti, Salvatore Maria Anzalone, Alain Berthoz, Mohamed Zaoui, David Cohen, Soizic Gauthier, Jean Xavier, Marco La Cascia, Vito Monteleone
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems
IEEE Transactions on Cognitive and Developmental Systems, Institute of Electrical and Electronics Engineers, Inc, 2020, pp.1-1. ⟨10.1109/TCDS.2020.3023196⟩
IEEE Transactions on Cognitive and Developmental Systems, 2021, 13 (4), pp.779-790. ⟨10.1109/TCDS.2020.3023196⟩
IEEE Transactions on Cognitive and Developmental Systems, Institute of Electrical and Electronics Engineers, Inc, 2020, pp.1-1. ⟨10.1109/TCDS.2020.3023196⟩
IEEE Transactions on Cognitive and Developmental Systems, 2021, 13 (4), pp.779-790. ⟨10.1109/TCDS.2020.3023196⟩
The study of human behaviors in cognitive sciences provides clues to understand and describe people’s personal and interpersonal functioning. In particular, the temporal analysis of behavioral dynamics can be a powerful tool to reveal events, corre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caa7d10c287f886dc93a929be573f04a
https://doi.org/10.1109/tcds.2020.3023196
https://doi.org/10.1109/tcds.2020.3023196
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250743
This paper proposes the use of smart 360-degree cameras for activity monitoring. By exploiting the geometric properties of these cameras and adopting off-the-shelf tracking algorithms adapted to equirectangular images, this paper shows how simple it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::236e40aa7d72bb3ffbab0be9c0e00a98
https://doi.org/10.1007/978-3-031-25075-0_20
https://doi.org/10.1007/978-3-031-25075-0_20
Autor:
Federico Becattini, Giuseppe Becchi, Andrea Ferracani, Alberto Del Bimbo, Liliana Lo Presti, Giuseppe Mazzola, Marco La Cascia, Federico Cunico, Andrea Toaiari, Marco Cristani, Antonio Greco, Alessia Saggese, Mario Vento
Publikováno v:
Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation.
In this paper we present I-MALL, an ICT hardware and software infrastructure that enables the management of services related to places such as shopping malls, showrooms, and conferences held in dedicated facilities. I-MALL offers a network of service
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7560bdb15b3817742f44424856c36532
https://doi.org/10.1145/3552468.3555365
https://doi.org/10.1145/3552468.3555365
Publikováno v:
Journal of Imaging; Volume 8; Issue 3; Pages: 61
Single-object visual tracking aims at locating a target in each video frame by predicting the bounding box of the object. Recent approaches have adopted iterative procedures to gradually refine the bounding box and locate the target in the image. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48cf43ad3dd87f17822499d803088102
https://pubmed.ncbi.nlm.nih.gov/35324616
https://pubmed.ncbi.nlm.nih.gov/35324616
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064326
This paper deals with the multi-object tracking (MOT) problem in videos acquired by 360-degree cameras. Targets are tracked by a frame-by-frame association strategy. At each frame, candidate targets are detected by a pre-trained state-of-the-art deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2943292b34c001dd8060823182db1474
http://hdl.handle.net/10447/559880
http://hdl.handle.net/10447/559880
Publikováno v:
IEEE Access, Vol 9, Pp 120880-120900 (2021)
This paper aims at highlighting cutting-edge research results in the field of visual tracking by deep reinforcement learning. Deep reinforcement learning (DRL) is an emerging area combining recent progress in deep and reinforcement learning. It is sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0b04d1b59c343da93eaf42e09931df1
http://hdl.handle.net/10447/537589
http://hdl.handle.net/10447/537589
Publikováno v:
Robotics and Autonomous Systems. 94:120-133
Powered lower-limb prostheses require a natural, and an easy-to-use, interface for communicating amputee’s motor intention in order to select the appropriate motor program in any given context, or simply to commute from active (powered) to passive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bbdfc5da7a38ada1e9473d4246547d9
https://doi.org/10.1016/j.robot.2017.04.003
https://doi.org/10.1016/j.robot.2017.04.003