Výsledky vyhledávání - "Jacques Boonaert"

Akademický článek

Multi-Channel Generative Framework and Supervised Learning for Anomaly Detection in Surveillance Videos

Autor: Tuan-Hung Vu, Jacques Boonaert, Sebastien Ambellouis, Abdelmalik Taleb-Ahmed

Publikováno v: Sensors, Vol 21, Iss 9, p 3179 (2021)

Recently, most state-of-the-art anomaly detection methods are based on apparent motion and appearance reconstruction networks and use error estimation between generated and real information as detection features. These approaches achieve promising re

Externí odkaz: https://doaj.org/article/9f2a506b89fc4af2a2db6f5d709be76d

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Akademický článek

User in the Loop: Adaptive Smart Homes Exploiting User Feedback—State of the Art and Future Directions

Autor: Abir B. Karami, Anthony Fleury, Jacques Boonaert, Stéphane Lecoeuche

Publikováno v: Information, Vol 7, Iss 2, p 35 (2016)

Due to the decrease of sensor and actuator prices and their ease of installation, smart homes and smart environments are more and more exploited in automation and health applications. In these applications, activity recognition has an important place

Externí odkaz: https://doaj.org/article/5f1f273c5f6c4ec18a538cd5f5632d5a

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RailSet: A Unique Dataset for Railway Anomaly Detection

Autor: Arij Zouaoui, Ankur Mahtani, Mohamed Amine Hadded, Sébastien Ambellouis, Jacques Boonaert, Hazem Wannous

Publikováno v: 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dac6b672f29e5a4b1929ce5adc2500da
https://doi.org/10.1109/ipas55744.2022.10052883

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Application of Rail Segmentation in the Monitoring of Autonomous Train's Frontal Environment

Autor: Mohamed Amine Hadded, Ankur Mahtani, Sébastien Ambellouis, Jacques Boonaert, Hazem Wannous

Publikováno v: Pattern Recognition and Artificial Intelligence Third International Conference, ICPRAI 2022
ICPRAI 2022, International Conference on Pattern Recognition and Artificial Intelligence
ICPRAI 2022, International Conference on Pattern Recognition and Artificial Intelligence, Jun 2022, Paris, France. pp185-197, ⟨10.1007/978-3-031-09037-0_16⟩
Pattern Recognition and Artificial Intelligence ISBN: 9783031090363

ICPRAI 2022, International Conference on Pattern Recognition and Artificial Intelligence, Paris, FRANCE, 01-/06/2022 - 03/06/2022; One of the key factors in achieving an autonomous vehicle is understanding and modeling the driving environment. This s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78fca362483f720e4556f6e9de6dded4
https://hal.science/hal-03875603/file/tex00006036.pdf

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Vehicles Tracking by Combining Convolutional Neural Network Based Segmentation and Optical Flow Estimation

Autor: Sébastien Ambellouis, Jacques Boonaert, Abdelmalik Taleb Ahmed, Tuan-Hung Vu

Publikováno v: ACIVS 2020, 20th International Conference on Advanced Concepts for Intelligent Vision Systems
ACIVS 2020, 20th International Conference on Advanced Concepts for Intelligent Vision Systems, Feb 2020, Auckland, New Zealand. pp529-540, ⟨10.1007/978-3-030-40605-9_45⟩
ACIVS 2020, 20th International Conference on Advanced Concepts for Intelligent Vision Systems, Feb 2020, Auckland, France. pp529-540, ⟨10.1007/978-3-030-40605-9_45⟩
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042
ACIVS

ACIVS 2020, 20th International Conference on Advanced Concepts for Intelligent Vision Systems, Auckland, NOUVELLE-ZELANDE, 10-/02/2020 - 14/02/2020; Object tracking is an important proxy task towards action recognition. The recent successful CNN mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::367d61e80b16483792d375d775c7e99d
https://hal.science/hal-02960349

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Kinematic Spline Curves: A temporal invariant descriptor for fast action recognition

Autor: Rémi Boutteau, Enjie Ghorbel, Stéphane Lecoeuche, Jacques Boonaert, Xavier Savatier

Publikováno v: Image and Vision Computing
Image and Vision Computing, Elsevier, 2018, 77, pp.60-71. ⟨10.1016/j.imavis.2018.06.004⟩
Image and Vision Computing, 77, 60--71. Elsevier (2018).

Over the last few decades, action recognition applications have attracted the growing interest of researchers, especially with the advent of RGB-D cameras. These applications increasingly require fast processing. Therefore, it becomes important to in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa39571e53d1bb5045baf4a2d9e84f68
https://doi.org/10.1016/j.imavis.2018.06.004

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Distances evolution analysis for online and off-line human object interaction recognition

Autor: Hassen Drira, Jacques Boonaert, Meng Meng

Publikováno v: Image and Vision Computing. 70:32-45

Human action recognition in 3D sequences is one of the most challenging and active areas of research in the computer vision domain. However designing automatic systems that are robust to significant variability due to object combinations and high com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a25b0bc068f1810ad600bf21254196ac
https://doi.org/10.1016/j.imavis.2017.12.003

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Multi-models machine learning methods for traffic flow estimation from Floating Car Data

Autor: Jacques Boonaert, Jinjian Li, Guillaume Lozenguez, Arnaud Doniec

Publikováno v: Transportation Research Part C: Emerging Technologies. 132:103389

Traffic flow measurement is very important for traffic management systems. However, the existing traditional measurement approaches are highly time-consuming and expensive to continuously gather the required data and to maintain the corresponding equ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::25ad81ae749e3e4b747d9f4828ade9db
https://doi.org/10.1016/j.trc.2021.103389

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Traffic Flow Multi-model with Machine Learning Method based on Floating Car Data

Autor: Jinjian Li, Guillaume Lozenguez, Arnaud Doniec, Jacques Boonaert

Publikováno v: 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), Apr 2019, Paris, France. pp.512-517, ⟨10.1109/CoDIT.2019.8820434⟩
CoDIT

The traffic flow measurement is one of the most important components in the traffic management systems. The existing traditional measurement methods are highly time-consuming and costly to continuously gather the required data, such as loop detectors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb57c5d6aaf642074aa2352c24339e2d
https://hal.archives-ouvertes.fr/hal-02496819

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Dynamic on-line multimodal route planning with least expected travel time in the stochastic and time-dependent bus network

Autor: Jacques Boonaert, Guillaume Lozenguez, Arnaud Doniec, Jinjian Li

Publikováno v: MATEC Web of Conferences, Vol 259, p 01002 (2019)
Academic Leadership
Academic Leadership, AcademicLeadership.org, 2019
HAL

Route planning system in bus network is very important on providing passengers a better experience for public transportation services. This work presents a new on-line dynamic path planning algorithm in a stochastic and time-dependent bus network, wi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59e7266511824be1081910a63715fc82
https://doaj.org/article/23b2f9d652a046558b3363ec80ed07c4

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