Výsledky vyhledávání - "Amal Mahboubi"

Reconstruction of Smooth 3D Color Functions from Keypoints: Application to Lossy Compression and Exemplar-Based Generation of Color LUTs

Autor: Amal Mahboubi, Christine Porquet, David Tschumperlé

Publikováno v: SIAM Journal on Imaging Sciences
SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2020, 13 (3), pp.1511-1535. ⟨10.1137/19M1306798⟩

International audience; 3D CLUTs (Color Look Up Tables) are popular digital models used in artistic image and video processing, for color grading, simulation of analog films, and more generally for the description and application of generic non-param

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eea4ed36a7af98d895dc6f2e6b4b95d
https://doi.org/10.1137/19m1306798

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Une approche structurelle pour la ré-identification de personnes

Autor: Luc Brun, Donatelo Conte, Amal Mahboubi

Publikováno v: ICPR
24th International Conference on Pattern Recognition (ICPR)
24th International Conference on Pattern Recognition (ICPR), Aug 2018, Pékin, China. pp.1616-1621
ICPR 2018 International Conference on Pattern Recognition
ICPR 2018 International Conference on Pattern Recognition, Aug 2018, Beijing, China

International audience; Although it has been studied extensively during past decades, object tracking is still a difficult problem due to many challenges. Several improvements have been done, but more and more complex scenes (dense crowd, complex int

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddb3b81d91c5efe338dc4e91dc457115
https://doi.org/10.1109/icpr.2018.8545640

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Tracking System with Re-identification Using a RGB String Kernel

Autor: Amal Mahboubi, Mario Vento, Donatello Conte, Luc Brun, Pasquale Foggia

Publikováno v: Joint IAPR International Workshop, S+SSPR 2014
Joint IAPR International Workshop, S+SSPR 2014, Aug 2014, Joensuu, Finland. pp.333-342, ⟨10.1007/978-3-662-44415-3_34⟩
Lecture Notes in Computer Science ISBN: 9783662444146
S+SSPR

International audience; People re-identification consists to identify a person which comes back in a scene where it has been previously detected. This key problem in visual surveillance applications may concern single or multi camera systems. Feature

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d574f9a950b371791a6e8f61e8d757b0
https://hal.archives-ouvertes.fr/hal-01083074/document

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Tracking System with Re-identification Using a Graph Kernels Approach

Autor: Amal Mahboubi, Luc Brun, Donatello Conte, Pasquale Foggia, Mario Vento

Publikováno v: CAIP 2013
CAIP 2013, Aug 2013, York, United Kingdom. pp.401-408
Computer Analysis of Images and Patterns ISBN: 9783642402609
CAIP (1)

CAIP 2013, Part I, LNCS 8047, pp. 401-408, 2013.; International audience; This paper addresses people re-identification problem for vi- sual surveillance applications. Our approach is based on a rich description of each occurrence of a person thanks

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fe73f700bd9c4e6c8592ebdead9a583
http://hdl.handle.net/11386/4547857

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Graph Kernels for Object Classification

Autor: Amal Mahboubi, Luc Brun

Publikováno v: Modelling and Simulation (MS 2011)
Modelling and Simulation (MS 2011), Jul 2011, Canada. pp.098, ⟨10.2316/P.2011.735-098⟩

International audience; Graphs constitute one of the few basic models used to encode structural properties of objects within the pattern recognition field. Definite positive graph kernels encode a similarity measure based on an implicit mapping from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::196703678280e9456d849d86fabbf7e6
https://doi.org/10.2316/p.2011.735-098

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Object Classification Based on Graph Kernels

Autor: F.-X. Dupe, Luc Brun, Amal Mahboubi

Publikováno v: HPCS
HPCS 2010
HPCS 2010, Jun 2010, Caen, France. pp.385-389

PP.385-389; International audience; Automatic object recognition plays a central role in numerous applications, such as image retrieval and robot navigation. A now classical strategy consists to compute a bag of features within a sliding window and t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d731ca39d76c451f3532d9aa3220f876
https://hal.archives-ouvertes.fr/hal-00954566

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Akademický článek

Tracking of Objects in Video Scenes with Time Varying Content.

Autor: Amal Mahboubi, Jenny Benois-Pineau, Dominique Barba

Publikováno v: EURASIP Journal on Applied Signal Processing; Jan2002, Vol. 2002 Issue 3, p582-594, 13p

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Tracking of Objects in Video Scenes with Time Varying Content

Autor: Jenny Benois-Pineau, Amal Mahboubi, Dominique Barba

Publikováno v: EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2002, EURASIP Journal on Advances in Signal Processing, 2002 (6), pp.582-594. ⟨10.1155/S1110865702000902⟩
www.springer.com
EURASIP Journal on Advances in Signal Processing, 2002, EURASIP Journal on Advances in Signal Processing, 2002 (6), pp.582-594. ⟨10.1155/S1110865702000902⟩
EURASIP Journal on Advances in Signal Processing, Vol 2002, Iss 6, Pp 582-594 (2002)
EURASIP Journal on Advances in Signal Processing, Vol 2002, Iss 6, p 750583 (2002)

International audience; We propose a method for tracking of objects contained in video sequences. Each video object is represented by a set of polygonal regions. A bottom up approach (spatial segmentation/motion estimation) is applied for the initial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77da1a5ca9afa0a6ca1b29526c0252d0

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