Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Itheri Yahiaoui"'
Autor:
Olfa Mzoughi, Itheri Yahiaoui
Publikováno v:
Ecological Informatics. 75:102000
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2ca6a39815b786778504ebb0b86a91d
https://doi.org/10.1016/j.ecoinf.2023.102000
https://doi.org/10.1016/j.ecoinf.2023.102000
Publikováno v:
Multimedia Tools and Applications
Multimedia Tools and Applications, Springer Verlag, 2021, 80 (15), pp.22373-22404. ⟨10.1007/s11042-020-08874-x⟩
Multimedia Tools and Applications, Springer Verlag, 2021, 80 (15), pp.22373-22404. ⟨10.1007/s11042-020-08874-x⟩
International audience; This paper deals with bark texture representation at high scale-space levels for tree species identification. The proposed approach, named, a set of statistical radial binary patterns (sSRBP), is based on the combination of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f027ac6f65d3a7e1eb1811908dcd5c3
https://hal.archives-ouvertes.fr/hal-03358566
https://hal.archives-ouvertes.fr/hal-03358566
Publikováno v:
IEEE Transactions on Intelligent Vehicles
IEEE Transactions on Intelligent Vehicles, 2021, 6 (1), pp.175-185. ⟨10.1109/TIV.2020.2991952⟩
IEEE Transactions on Intelligent Vehicles, Institute of Electrical and Electronics Engineers, 2021, 6 (1), pp.175-185. ⟨10.1109/TIV.2020.2991952⟩
IEEE Transactions on Intelligent Vehicles, 2021, 6 (1), pp.175-185. ⟨10.1109/TIV.2020.2991952⟩
IEEE Transactions on Intelligent Vehicles, Institute of Electrical and Electronics Engineers, 2021, 6 (1), pp.175-185. ⟨10.1109/TIV.2020.2991952⟩
International audience; Self-driving vehicles need to continuously analyse the driving scene, understand the behavior of other road users and predict their future trajectories in order to plan a safe motion and reduce their reaction time. Motivated b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5da8900f0fa08fcff59a1506a8de9f02
https://inria.hal.science/hal-02543967/file/FINAL_VERSION.pdf
https://inria.hal.science/hal-02543967/file/FINAL_VERSION.pdf
Publikováno v:
IEEE Network
IEEE Network, Institute of Electrical and Electronics Engineers, 2020, 34 (3), pp.73-77. ⟨10.1109/MNET.011.1900331⟩
IEEE Network, Institute of Electrical and Electronics Engineers, 2020, 34 (3), pp.73-77. ⟨10.1109/MNET.011.1900331⟩
C-ITS is one of the most challenging domains in either research or industry. Their social and economic benefits are of importance for fuel consumption, traffic management, and road safety. Consequently, they have been deployed in many countries. Priv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c5ac6b6994fa7c9f27e92b3784f2361
https://hal.archives-ouvertes.fr/hal-02969801
https://hal.archives-ouvertes.fr/hal-02969801
Publikováno v:
Applied Soft Computing. 118:108473
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4b2dc6dba58d411ef463a48310856c1
https://doi.org/10.1016/j.asoc.2022.108473
https://doi.org/10.1016/j.asoc.2022.108473
Publikováno v:
ITSC
Intelligent Transportation Systems Conference (ITSC)
Intelligent Transportation Systems Conference (ITSC), 2019, Auckland, New Zealand. ⟨10.1109/ITSC.2019.8916887⟩
Intelligent Transportation Systems Conference (ITSC), Oct 2019, Auckland, New Zealand. ⟨10.1109/ITSC.2019.8916887⟩
Intelligent Transportation Systems Conference (ITSC)
Intelligent Transportation Systems Conference (ITSC), 2019, Auckland, New Zealand. ⟨10.1109/ITSC.2019.8916887⟩
Intelligent Transportation Systems Conference (ITSC), Oct 2019, Auckland, New Zealand. ⟨10.1109/ITSC.2019.8916887⟩
International audience; Scene understanding and future motion prediction of surrounding vehicles are crucial to achieve safe and reliable decision-making and motion planning for autonomous driving in a highway environment. This is a challenging task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11cf9e7d732c6ccf1d7ac620b2bebed8
https://doi.org/10.1109/itsc.2019.8916887
https://doi.org/10.1109/itsc.2019.8916887
Publikováno v:
Intelligent Vehicles Symposium (IV)
Intelligent Vehicles Symposium (IV), 2019, Paris, France. ⟨10.1109/IVS.2019.8813829⟩
IV 2019-IEEE Intelligent Vehicles Symposium
IV 2019-IEEE Intelligent Vehicles Symposium, Jun 2019, Paris, France. pp.975-980, ⟨10.1109/IVS.2019.8813829⟩
Intelligent Vehicles Symposium (IV), Jun 2019, Paris, France. ⟨10.1109/IVS.2019.8813829⟩
Intelligent Vehicles Symposium (IV), 2019, Paris, France. ⟨10.1109/IVS.2019.8813829⟩
IV 2019-IEEE Intelligent Vehicles Symposium
IV 2019-IEEE Intelligent Vehicles Symposium, Jun 2019, Paris, France. pp.975-980, ⟨10.1109/IVS.2019.8813829⟩
Intelligent Vehicles Symposium (IV), Jun 2019, Paris, France. ⟨10.1109/IVS.2019.8813829⟩
International audience; For an efficient integration of autonomous vehicles on roads, human-like reasoning and decision making in complex traffic situations are needed. One of the key factors to achieve this goal is the estimation of the future behav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03d41fcc40f678d6ff0c71aea5eb31a9
https://hal.inria.fr/hal-02160409
https://hal.inria.fr/hal-02160409
Publikováno v:
International Conference on Pattern Recognition (ICPR)
International Conference on Pattern Recognition (ICPR), 2018, Beijing, France. pp.1530-1535, ⟨10.1109/ICPR.2018.8545798⟩
ICPR
International Conference on Pattern Recognition (ICPR), 2018, Beijing, France. pp.1530-1535, ⟨10.1109/ICPR.2018.8545798⟩
ICPR
This paper presents a novel, yet compact texture descriptor for plant species identification based on bark texture images. Termed Statistical Macro Binary Pattern (SMBP), the descriptor is informative, rotation invariant, and it is designed to encode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeceaf4483c4af556c661f5769a4c0e3
https://hal.archives-ouvertes.fr/hal-02550699
https://hal.archives-ouvertes.fr/hal-02550699
Publikováno v:
Advanced Concepts for Intelligent Vision Systems ISBN: 9783319703527
ACIVS
International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS)
International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS), 2017, Antwerp, Belgium. pp.101-113, ⟨10.1007/978-3-319-70353-4_9⟩
ACIVS
International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS)
International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS), 2017, Antwerp, Belgium. pp.101-113, ⟨10.1007/978-3-319-70353-4_9⟩
This paper presents a plant identification method based on the texture characterization of bark images. We propose a novel statistical radial binary pattern (SRBP) descriptor to encode the between-scale texture information within large neighbourhood
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4546222be6136f80d66bae6aac0aaa5d
https://doi.org/10.1007/978-3-319-70353-4_9
https://doi.org/10.1007/978-3-319-70353-4_9
Publikováno v:
Multimedia Tools and Applications
Multimedia Tools and Applications, 2016, 75 (3), pp.1615-1646. ⟨10.1007/s11042-015-2603-8⟩
Multimedia Tools and Applications, Springer Verlag, 2016, 75 (3), pp.1615-1646. ⟨10.1007/s11042-015-2603-8⟩
Multimedia Tools and Applications, 2016, 75 (3), pp.1615-1646. ⟨10.1007/s11042-015-2603-8⟩
Multimedia Tools and Applications, Springer Verlag, 2016, 75 (3), pp.1615-1646. ⟨10.1007/s11042-015-2603-8⟩
Structuring the search space based on domain-specific vocabulary (or concepts) is capital for enhanced image retrieval. In this paper, we study the opportunities and the impact of exploiting such a strategy in a particular problem which is the leaf s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41ccff65b77f7e665778404142810139
https://hal.science/hal-02551394
https://hal.science/hal-02551394