Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Nerea Aranjuelo"'
Publikováno v:
IEEE Access, Vol 11, Pp 92985-92995 (2023)
This paper proposes an approach to optimize the deployment of on-board video analytics for checking the correct positioning of luggage in aircraft cabins. The system consists of embedded cameras installed on top of the cabin and a heterogeneous embed
Externí odkaz:
https://doaj.org/article/f7ed41a74d51469d81399aa0b46da80c
Autor:
Unai Elordi, Chiara Lunerti, Luis Unzueta, Jon Goenetxea, Nerea Aranjuelo, Alvaro Bertelsen, Ignacio Arganda-Carreras
Publikováno v:
Information, Vol 12, Iss 12, p 532 (2021)
In this paper, we tackle the problem of deploying face recognition (FR) solutions in heterogeneous Internet of Things (IoT) platforms. The main challenges are the optimal deployment of deep neural networks (DNNs) in the high variety of IoT devices (e
Externí odkaz:
https://doaj.org/article/86894ac74ee44ebf90b50b318bf32746
Publikováno v:
IET Computer Vision, Vol 10, Iss 4, Pp 299-307 (2016)
In this study, the authors present a learning‐free method for inferring kinematically plausible three‐dimensional (3D) human body poses contextualised in a predefined 3D world, given a set of 2D body features extracted from monocular images. This
Externí odkaz:
https://doaj.org/article/54a43cc392c64b4b8606487b7c5e0f94
Autor:
Guillem Delgado, Andoni Cortés, Sara García, Estíbaliz Loyo, Maialen Berasategi, Nerea Aranjuelo
Nowadays, containerized freight transport is one of the most important transportation systems that is undergoing an automation process due to the Deep Learning success. However, it suffers from a lack of annotated data in order to incorporate state-o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce2d6525ca65b9f426a0c21ccef05e27
http://arxiv.org/abs/2306.14584
http://arxiv.org/abs/2306.14584
Autor:
David Montero, Nerea Aranjuelo, Peter Leskovsky, Estíbaliz Loyo, Marcos Nieto, Naiara Aginako
Publikováno v:
Multimedia Tools and Applications.
The current sanitary emergency situation caused by COVID-19 has increased the interest in controlling the flow of people in indoor infrastructures, to ensure compliance with the established security measures. Top view camera-based solutions have prov
Autor:
Nerea Aranjuelo, José Luis Apellaniz, Luis Unzueta, Jorge García, Sara García, Oihana Otaegui
Deep Neural Network (DNN)-based vision systems could improve passenger transportation safety by automating processes such as verifying the correct positioning of luggage, seat occupancy, etc. Abundant and well-distributed data are essential to make D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b7e95f4895b9851a5df9c477b36be5d
Autor:
Nerea Aranjuelo, Jon Goenetxea, Luis Unzueta, Ignacio Arganda-Carreras, Unai Elordi, Alvaro Bertelsen
Publikováno v:
KES
25th International Conference on Knowledge-Based and Intelligent Information & Engineering (KES 2021)
25th International Conference on Knowledge-Based and Intelligent Information & Engineering (KES 2021)
Face recognition provides a desirable solution for authentication and surveillance in Internet of Things platforms for elderly care. However, its inclusion is challenging because of the possibly reduced interaction capabilities of users, the high var
Multi-Stage Dynamic Batching and On-Demand I-Vector Clustering for Cost-effective Video Surveillance
Autor:
Marcos Nieto, Luis Unzueta, Oihana Otaegui, Estíbaliz Loyo, Jon Goenetxea, Nerea Aranjuelo, David Montero
Publikováno v:
VISIGRAPP (5: VISAPP)
Scopus-Elsevier
Scopus-Elsevier
Autor:
Luis Unzueta Irurtia, Nerea Aranjuelo Ansa, Sara García Torres, Oihana Otaegui Madurga, Unai Elordi Hidalgo, Jorge García Castaño
Publikováno v:
VISIGRAPP (5: VISAPP)
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Addi. Archivo Digital para la Docencia y la Investigación
instname
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Scopus-Elsevier
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Addi. Archivo Digital para la Docencia y la Investigación
instname
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Scopus-Elsevier
[EN] Synthetic simulated environments are gaining popularity in the Deep Learning Era, as they can alleviate the effort and cost of two critical tasks to build multi-camera systems for surveillance applications: setting up the camera system to cover
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7531830a5ed5fdf21cc0ae04d3dac99f
http://hdl.handle.net/10810/52866
http://hdl.handle.net/10810/52866
Autor:
Nerea Aranjuelo, Marcos Nieto, David Montero, Ignacio Arganda-Carreras, Guus Engels, Oihana Otaegui, Luis Unzueta
Publikováno v:
IJCCI