Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Soustraction d'arrière-plan"'
Un système de récupération et de classification d’images extraites des caméras de vidéo-surveillance
Autor:
Ammar, Sirine
In this thesis, we present a robust descriptor for background subtraction based on an unsupervised anomaly detection algorithm, called DeepSphere which is able to detect moving objects from video sequences. Unlike conventional background-foreground s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::252adf54185bc3ad2d5a3f46ac5cec50
https://theses.hal.science/tel-03619976
https://theses.hal.science/tel-03619976
Autor:
Mabrouk, Lhoussein
Publikováno v:
Traitement du signal et de l'image [eess.SP]. Université Grenoble Alpes [2020-..]; Université Cadi Ayyad (Marrakech, Maroc), 2020. Français. ⟨NNT : 2020GRALT009⟩
Mixture of Gaussians (MoG) and Compressive Sensing (CS) are two common algorithms in many image and audio processing systems. Their combination, CS-MoG, was recently used for mobile objects detecting through background subtraction. However, the imple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::f91aa4f8b19404dba05aec039ce7b1c0
https://tel.archives-ouvertes.fr/tel-02973751/document
https://tel.archives-ouvertes.fr/tel-02973751/document
Autor:
Mabrouk, Lhoussein
Publikováno v:
Traitement du signal et de l'image [eess.SP]. Université Grenoble Alpes [2020-..]; Université Cadi Ayyad (Marrakech, Maroc), 2020. Français. ⟨NNT : 2020GRALT009⟩
Mixture of Gaussians (MoG) and Compressive Sensing (CS) are two common algorithms in many image and audio processing systems. Their combination, CS-MoG, was recently used for mobile objects detecting through background subtraction. However, the imple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f91aa4f8b19404dba05aec039ce7b1c0
https://tel.archives-ouvertes.fr/tel-02973751/document
https://tel.archives-ouvertes.fr/tel-02973751/document
Autor:
Liu, Rongrong
Publikováno v:
Image Processing [eess.IV]. Université Bourgogne Franche-Comté, 2020. English. ⟨NNT : 2020UBFCA013⟩
This dissertation aims to investigate the multispectral images in moving objects detection via background subtraction, both with classical and deep learning-based methods. As an efficient and representative classical algorithm for background subtract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::7cb0efd4cbf4346d4f79d966d6191f8f
https://tel.archives-ouvertes.fr/tel-02902951/file/These_LIU_UTBM.pdf
https://tel.archives-ouvertes.fr/tel-02902951/file/These_LIU_UTBM.pdf
Autor:
Liu, Rongrong
This dissertation aims to investigate the multispectral images in moving objects detection via background subtraction, both with classical and deep learning-based methods. As an efficient and representative classical algorithm for background subtract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3711::7cb0efd4cbf4346d4f79d966d6191f8f
https://theses.hal.science/tel-02902951
https://theses.hal.science/tel-02902951