Now showing items 1-16 of 16

  • A framework for Object Classification in Fareld Videos 

    Setitra, Insaf; Larabi, Slimane
    In : Wicon 2014, (Springer, Lisbon, Portugal, 2014-12)
    Object classification in videos is an important step in many applications such as abnormal event detection in video surveillance, traf- fic analysis is urban scenes and behavior control in crowded locations. In this work, propose a framework for moving object classification in farfield videos. Much works have been ...
  • A framework for object classification in farfield videos 

    Setitra, Insaf; Larabi, Slimane
    In : Rapports de recherche internes, (CERIST, Alger, 2014-10-26)
    Object classification in videos is an important step in many applications such as abnormal event detection in video surveillance, traffic analysis is urban scenes and behavior control in crowded locations. In this work, propose a framework for moving object classification in farfield videos. Much works have been dedicated ...
  • A simple approach to distinguish between Maghrebi and Persian calligraphy in old manuscripts 

    Setitra, Insaf; Meziane, Abdelkrim
    In : 11th IAPR International workshop on Document Analysis System, (IAPR, Tours France, 2014-04-07)
    Manual annotation of images is usually a mandatory task in many applications where no knowledge about the image is available. In presence of huge number of images, this task becomes very tedious and prone to human errors. In this paper, we contribute in automatic annotation of Arabic old manuscripts by discovering ...
  • A simple approach to distinguish between Maghrebi and Persian calligraphy in old manuscripts 

    Setitra, Insaf; Meziane, Abdelkrim
    In : Rapports de recherche internes, (CERIST, Alger, 2014-04-07)
    Manual annotation of images is usually a mandatory task in many applications where no knowledge about the image is available. In presence of huge number of images, this task becomes very tedious and prone to human errors. In this paper, we contribute in automatic annotation of Arabic old manuscripts by discovering ...
  • A study on discrimination of SIFT feature applied to binary images 

    Setitra, Insaf; Larabi, Slimane
    In : Rapports de recherche internes, (CERIST, Alger, 2015-10-04)
    Scale Invariant Feature Transform (SIFT) since its first apparition in 2004 has been (and still is) extensively used in computer vision to classify and match objects in RGB and grey level images and videos. However, since the descriptor used in SIFT approach is based on gradient magnitude and orientation, it has always ...
  • A tracking approach for text line segmentation in handwritten documents 

    Setitra, Insaf; Hadjadj, Zineb; Meziane, Abdelkrim
    In : (Springer, Porto, Portugal, 2017-02-24)
    Tracking of objects in videos consists of giving a label to the same object moving in different frames. This labeling is performed by predicting position of the object given its set of features observed in previous frames. In this work, we apply the same rationale by considering each connected component in the manuscript ...
  • A tracking approach for text line segmentation in handwritten documents 

    Setitra, Insaf; Hadjadj, Zineb; Meziane, Abdelkrim
    In : Rapports de recherche internes, (CERIST, Alger, 2017-02-24)
    Tracking of objects in videos consists of giving a label to the same object moving in different frames. This labeling is performed by predicting position of the object given its set of features observed in previous frames. In this work, we apply the same rationale by considering each connected component in the manuscript ...
  • A Tracking Approach for Text Line Segmentation in Handwritten Documents 

    Setitra, Insaf
    In : (Springer / LNCS Series Book, Porto Portugal, 2017-02-24)
    Tracking of objects in videos consists of giving a label to the same object moving in different frames. This labelling is performed by predicting position of the object given its set of features observed in previous frames. In this work, we apply the same rationale by considering each connected component in the manuscript ...
  • Angle Minimization and Graph Analysis for text line segmentation in handwritten documents 

    Setitra, Insaf; Meziane, Abdelkrim
    In : Rapports de recherche internes, (CERIST, Alger, 2018-07-08)
    We propose in this paper a novel approach for text line segmentation in handwritten documents. The approach is based on angle minimization and graph analysis for text lines extraction. We apply our approach on images of ICDAR 2013 Handwriting Segmentation Contest, and give details about its robustness against skew ...
  • Background subtraction algorithms with post processing A review 

    Setitra, Insaf; Larabi, Slimane
    In : Rapports de recherche internes, (CERIST, Alger, 2014-04-28)
    Due to its several algorithms with their fast implementations, background subtraction becomes a very important step in many computer vision and video surveillance systems which assume static cameras. Literature counts a large number of robust background subtraction algorithms which try each to outperform the ...
  • Classification automatique des images histologiques du cancer du sein par réseaux de neurones convolutifs (RNC) 

    Setitra, Insaf; Meziane, Abdelkrim; Mayouf, Mouna Sabrine; Hamrioui, Amel
    In : (Publication en ligne, Nancy, France, 2018-08-01)
    Après le cancer de la peau, le cancer du sein est le deuxième type de cancer le plus commun chez la femme à l’échelle mondiale. Ce dernier enregistre un taux de mortalité assez élevé comparé aux autres types de cancer. (Spanhol, Oliveira et al. 2016). Le diagnostic des tumeurs du sein pour différencier les cellules ...
  • Classification automatique des images histologiques du cancer du sein par réseaux de neurones convolutifs (RNC) 

    Setitra, Insaf; Meziane, Insaf; Mayouf, Mouna Sabrine; Hamrioui, Amel
    In : Rapports de recherche internes, (CERIST, Alger, 2018-08-01)
    Après le cancer de la peau, le cancer du sein est le deuxième type de cancer le plus commun chez la femme à l’échelle mondiale. Ce dernier enregistre un taux de mortalité assez élevé comparé aux autres types de cancer. (Spanhol, Oliveira et al. 2016). Le diagnostic des tumeurs du sein pour différencier les cellules ...
  • Object classification in videos An overview 

    Setitra, Insaf
    In : Rapports de recherche internes, (CERIST, Alger, 2012)
    In this article, we will discuss the classification of moving objects in videos. An overview of classical steps in video classification will be given and a particular attention will be given to classification in video surveillance since classification in this kind of systems is very important and plays a primary role in ...
  • Old Manuscripts Restoration Using Segmentation and Texture Inpainting 

    Setitra, Insaf; Meziane, Abdelkrim
    In : Rapports de recherche internes, (CERIST, Alger, 2013-09)
    While manifold works are done in the area of natural image processing to enhance image content, images of documents and more specifically old manuscripts images still suffer from degradations. State of the art approaches show performance in restoring degraded manuscripts images but still a lake is observed in this area. ...
  • Perimeter Histogram based Approach for Calligraphy Classification in Ancient Manuscripts 

    Setitra, Insaf; Meziane, Abdelkrim
    In : ISKO maghreb 2014, (IEEE Xplore, Alger, Algérie, 2014-12)
    Manual annotation of images is usually a mandatory task in many applications where no knowledge about the image is available. In presence of huge number of images, this task becomes very tedious and prone to human errors. In this paper, we contribute in automatic annotation of ancient manuscripts by discovering ...
  • WebVR based Interactive Visualization of Open Health Data 

    HADJAR, Hayet; Meziane, Abdelkrim; GHERBI, Rachid; Setitra, Insaf; Zeghichi, Seyf eddine; Lahmil, Abdessalam
    In : Rapports de recherche internes, (CERIST, Alger, 2018-04-22)
    Visualization and manipulation of complex and multivariate data in virtual worlds is important for both holders of these data and for their users. Indeed, Virtual Reality helps to make multidimensional data more intelligible and to bring useful information and knowledge. Offering Virtual Reality to browsers, also known ...

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