Multi-view re-identification of objects and individuals based on 3D representation H/F
Commissariat à l’Énergie Atomique
Entité de rattachement Le CEA est un acteur majeur de la recherche, au service des citoyens, de l’économie et de l’Etat.Il apporte des solutions concrètes à leurs besoins dans quatre domaines principaux : transition énergétique, transition numérique, technologies pour la médecine du futur, défense et sécurité sur un socle de recherche fondamentale. Le CEA s’engage depuis plus de 75 ans au service de la souveraineté scientifique, technologique et industrielle de la France et de l’Europe pour un présent et un avenir mieux maîtrisés et plus sûrs.Implanté au cœur des territoires équipés de très grandes infrastructures de recherche, le CEA dispose d’un large éventail de partenaires académiques et industriels en France, en Europe et à l’international.Les 20 000 collaboratrices et collaborateurs du CEA partagent trois valeurs fondamentales :
Référence 2024-33193Description de l’unitéBased in Saclay (Essonne), the LIST is one of the two institutes of CEA Tech, the Technological Research Division of the CEA. Dedicated to intelligent digital systems, its mission is to carry out technological developments of excellence on behalf of industrial partners, in order to create value.
Within the LIST, the Laboratory of Vision and Learning for Scene Analysis (LVA) conducts its research in the field of computer vision and artificial intelligence for the perception of intelligent and autonomous systems. The laboratory’s research themes include visual recognition, behavior and activity analysis, large-scale automatic annotation, and perception and decision models.utilisées dans l’industrie française et européenne de demain.Description du posteDomaineAutreContratStageIntitulé de l’offreMulti-view re-identification of objects and individuals based on 3D representation H/FSujet de stageMulti-view re-identification of objects and individuals based on 3D representationDurée du contrat (en mois)[6 mois]Description de l’offreMany monitoring applications, like pedestrian video protection, farm cow monitoring, or team sports analysis, rely on accurate re-identification in camera networks. While re-identification based on appearance details like color and texture has shown good results, the task becomes more complex when recognizing individuals from different viewpoints due to changes in resolution, pose, and lighting.Otherwise, recent advances in 3D object reconstruction offer impressive results. These new representations of individuals are valuable for re-identification based on 3D understanding.With this internship, we would like to explore the extension of this research on 3D representations for re-identification, to the use of multiple views of the same object or individual.
More details on https://kalisteo.cea.fr/index.php/apply-for-a-job/Profil du candidatQualifications
Job-related benefits
Join CEA List and LVA as an intern to:
In line with CEA’s commitment to integrating people with disabilities, this job is open to all.Localisation du posteSiteSaclayLocalisation du posteFrance, Ile-de-France, Essonne (91)VillePalaiseauCritères candidatLanguesAnglais (Intermédiaire)Diplôme préparéBac+5 – Master of SciencePossibilité de poursuite en thèseOui
€1300 – 1400 per month
Essonne
Fri, 27 Sep 2024 22:17:05 GMT
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