Patrick VANNOORENBERGHE

 

 

 

 

 

 

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Conferences

 

 

 

 

Talks

 

 

 

 

 

 

 

 

 Teaching

 

 

 

 

 

 

 

 

 About me

 

 

 

 

 

 

 

 

 

 

 

 

 PhD Thesis

  • P. Vannoorenberghe. Détection de mouvement par analyse de séquences d’images monoculaires. Application à l’estimation de flux de piétons en milieu urbain. Thèse de doctorat de l’Université du Littoral Côte d’Opale, Soutenue le 11 Juillet 1997, Mention très honorable avec félicitations du jury. Sous la direction du Professeur Jack-Gérard POSTAIRE (Université des Sciences et Technologies de Lille) et Cina MOTAMED (Université du Littoral Côte d’Opale)

 Computer vision journals

  • P. Zhang, P. Vannoorenberghe, O. Gallocher, I. Gardin. Segmentation d’images par étiquetage crédibiliste : Application à l’imagerie médicale par tomodensitométrie en cancérologie, Submitted to Traitement du Signal, 2006.
  • P. Vannoorenberghe, L. Macaire and O. Colot. Evidence-based pixel labeling for color image segmentation. Submitted to Pattern Recognition Letters, 2006.
  • P. Vannoorenberghe, C. Motamed, and J.-G. Postaire. Réactualisation d’une image de référence pour la détection du mouvement dans les scènes urbaines. Traitement du Signal, 15(2) :139–148, 1998.
  • F. Cabestaing and P. Vannoorenberghe. Hardware Implementation of Image Sequence Processing, Archiwum Informatyki Teoretycznej I Stosowanej, 7(1-4):183–192, 1995.
  • P. Vannoorenberghe, C. Motamed, J.-M. Blosseville, and J.-G. Postaire. Detection of intrusions using a background structural model. Computers Industrial Engineering, 29(1-4) :675–679, March 1995.

 Information fusion journals

  • P. Vannoorenberghe Multisensor data and information processing for rapid and robust situation and threat assessment. NATO Advanced Study Institute, Albena, Bulgaria, 2005.
  • E. Lefevre, O. Colot, and P. Vannoorenberghe. Reply to the comments of R. Haenni on the paper : Belief functions combination and conflict management. Information Fusion, 4(1) :63–65, June 2003.
  • E. Lefevre, O. Colot, and P. Vannoorenberghe. Belief functions combination and conflict management. Information Fusion, 3(2) :149–162, June 2002.
  • E. Lefevre, O. Colot, P. Vannoorenberghe, and D.de Brucq. Informations et combinaison : Les liaisons conflictuelles. Traitement du Signal, 18(3) :161–177, 2002.
  • E. Lefevre, P. Vannoorenberghe, O. Colot, and D. De Brucq. Contribution des mesures d’information à la modélisation crédibiliste des connaissances. Traitement du signal, 17(2) :87–97, 2001.

 

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 Computer vision conferences

  • S. Vauclin, P. Zhang, I. Gardin, O. Gallocher and P. Vannoorenberghe. Segmentation of thoracic computed tomography images. In Proceedings of ISSCS’2005, Lasi, ROMANIA, August 2005.
  • E. Lefevre, P. Vannoorenberghe, and O Colot. About the use of Dempster-Shafer theory for color image segmentation. In CGIP’2000, First International Conference on Color in Graphics and Image Processing, pages 164–169, October 1-4, Saint-Etienne, France, September 2000.
  • P. Vannoorenberghe, O. Colot, and D. De Brucq. Color image segmentation using Dempster-Shafer’s theory. In Proceedings of ICIP’99, International Conference on Image Processing, Japon, 1999.
  • P. Vannoorenberghe, O. Colot, and D. DeBrucq. Dempster-Shafer’s theory as an aid to color information processing. Application to melanoma detection in dermatology. In Proceedings of ICIAP’99, 10th International Conference on Image Analysis and Processing, Venice, Italy, 1999.
  • P. Vannoorenberghe, O. Colot, and D. DeBrucq. Fusion of color information for image segmentation based on Dempster-Shafer’s theory. In Proceedings of FUSION’99, Second International Conference on Information Fusion, pages 816–821, Silicon Valley, San Francisco Bay area, California, USA, 1999.
  • P. Vannoorenberghe, C. Motamed, J.-M. Blosseville, and J.-G. Postaire. Automated video surveillance for access control. In Intelligent Transportation System, Realizing the future, Orlando, Florida, October 14-18 1996.
  • P. Vannoorenberghe, C. Motamed, J.-M. Blosseville, and J.-G. Postaire. Automatic pedestrian recognition in uncontrolled urban environment. In SPIE on Real-Time Imaging, volume 2661, pages 2–9, San Jose, California, January 29 / February 2 1996.
  • P. Vannoorenberghe, C. Motamed, J.-M. Blosseville, and J.-G. Postaire. Monitoring pedestrians in a non controlled urban environment by matching low-level features. In IEEE International Conference on Systems Man and Cybernetics, Beijing, China, October 14-17 1996.
  • P. Vannoorenberghe, C. Motamed, J.-M. Blosseville, and J.-G. Postaire. Motion detection for non-rigid objects. Application to pedestrians monitoring in an urban environment. In IEEE International Conference on IMACS, Computational Engineering in Systems Applications, volume 4, pages 438–442, Lille, France, 9-12 July 1996.
  • P. Vannoorenberghe, Y. Ruichek, and J.-G. Postaire. A neural matching procedure for tracking pedestrians in urban environment. In Solving Engineering Problems with Neural Networks, pages 347–350, London, England, June 17-19 1996.
  • P. Vannoorenberghe, C. Motamed, J.-M. Blosseville, and J.-G. Postaire. Pedestrian flow estimation in urban environment by image processing. In Y.J. Stephanedes and F. Filippi, editors, Fourth International Conference on Applications of Advanced Technologies in Transportation Engineering, pages 119–123, Capri, Italy, June 27-30, 1995. Americal Society of Civil Engineers.

 Information fusion conferences

  • P. Vannoorenberghe and T. Denoeux. Handling uncertain labels in multiclass problems using belief decision trees. In Proceedings of IPMU’2002, pages 1919–1926, Annecy, France, 2002.
  • E. Lefevre, P. Vannoorenberghe, and O. Colot. Combination rules for belief functions. In Applied Stochastic Models and Data Analysis, pages 678–683, Compiègne, France, 2001.
  • P. Vannoorenberghe and T. Denoeux. Likelihood-based vs. distance-based evidential classifiers. In Proceedings of FUZZ-IEEE’2001, Melbourne, Australia, December 2001. IEEE.
  • E. Lefevre, O. Colot, P. Vannoorenberghe, and D. De Brucq. A generic framework for resolving the conflict in the combination of belief function. In Proceedings of FUSION’2000, Third International Conference on Information Fusion, pages MOD4 11–18, Paris, France, July 2000.
  • E. Lefevre, O. Colot, P. Vannoorenberghe, and D. De Brucq. Knowledge modeling methods in the framework of evidence theory. an experimental comparison for melanoma detection. In Proceedings of SMC’2000, IEEE International Conference on Systems, Man, and Cybernetics, Nashville, Tennessee, USA, October 2000.
  • E. Lefevre, O. Colot, and P. Vannoorenberghe. Basic belief assignment in the framework of information theory. In Proceedings of EUFIT’99, 7th European Congress on Intelligent Techniques and Soft Computing, September 13-16 1999.
  • E. Lefevre, O. Colot, and P. Vannoorenberghe. Using information criteria in Dempster-Shafer’s basic belief assignment. In Proceedings of FUSION’99, Second International Conference on Information Fusion, pages 173–178, Silicon Valley, San Francisco Bay area, California, USA, 1999.
  • E. Lefevre, O. Colot, and P. Vannoorenberghe. Using information criteria in Dempster-Shafer’s basic belief assignment. In Proceedings of FUZZ-IEEE’99, 1999.

 

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 Applications

  • P. Vannoorenberghe P. Hellard and M. Avalos. Modeling kinematic parameters on the 400 medley by neural networks and fuzzy inference systems. In 6th Annual Congress of the European College of Sport Science, page 254, Cologne, Germany, 24-28 July 2001.
  • F. El-Matouat, P. Vannoorenberghe, O. Colot, and J. Labiche. Using optimal variables for bayesian network classifiers. In Proceedings of FUSION’2000, Third International Conference on Information Fusion, Paris, France, July 2000.
  • F. El-Matouat, P. Vannoorenberghe, O. Colot, and J. Labiche. From continuous to discrete variables for bayesian network classifiers. In Proceedings of SMC’2000, IEEE International Conference on Systems, Man, and Cybernetics, Nashville, Tennessee, USA, October 2000.
  • G. Roussel, G.Delmaire, P.Vannoorenberghe, and R.Lherbier. A method for separation problem of industrial particles emissions. In Air Pollution Modelling and Simulation, APMS’98, pages 647–659, Champs-Sur-Marne, FRANCE, October 1998.
  • P. Vannoorenberghe, R. Lherbier, G. Delmaire, and G. Roussel. Possibilistic identification of pollutant source by multisensor data fusion. In Air Pollution Modelling and Simulation, APMS’98, pages 767–768, Champs-Sur-Marne, FRANCE, October 1998.

 

 

 Talks

  • P. Vannoorenberghe. Définition des volumes cible en radiothérapie par fusion TEP-CT : le point de vue de la machine. Enseignement Post-Universitaire Imagerie Morpho-TEP : Quel impact en radiothérapie ?, SFPM, Nancy, Mars 2005.
  • P. Vannoorenberghe. Théorie des fonctions de croyance et applications dans le domaine des STIC. Séminaire au Laboratoire de Mathématiques Raphaël Salem (LMRS), Université de Rouen, Rouen, 2 Octobre 2003.
  • E. Lefevre, P. Vannoorenberghe et O. Colot. Combiner en présence d’informations conflictuelles. Communication au GDR-ISIS, GT6, Journée thématique ’Fusion d’informations’, ENST-Paris, 18 Janvier 2001.
  • P. Vannoorenberghe, Y. Grandvalet, C. Ambroise, T. Denoeux, E. Lefevre et O. Colot. Méthodes ensemblistes pour la surveillance de l’environnement. Communication au GDR-ISIS, GT6, Journée thématique ’Fusion d’informations’, ENST-Paris, 18 Janvier 2001.
  • P. Vannoorenberghe, O. Colot, N. Richard, C. Fernandez et L. Macaire. Indexation de bases d’images dermatologiques. Assemblée générale du GDR-ISIS, Hourtin, 2-4 Mai 2001.
  • E. Lefevre, P. Vannoorenberghe et O. Colot. Segmentation d’images multi-composantes par fusion d’informations imparfaites. Communication au GDR-ISIS, GT3, Journée thèmatique commune OT 3.2 et OT 3.3, ENST-Paris, 8 Mars 2000.
  • P. Vannoorenberghe et O. Colot. Segmentation d’images couleur et reconnaissance de formes : Contribution de la théorie de l’évidence dans une application à la détection de mélanomes malins. Séminaire au laboratoire IRCOM-SIC, Université de Poitiers, Futuroscope, Chasseneuil, 5 Mai 2000.
  • P. Vannoorenberghe et O. Colot. Segmentation d’images couleur : Application à la détection de mélanomes malins en dermatologie. Communication au GDR-ISIS, GT3, Journée thèmatique OT 3.2, ENST-Paris, 8 Décembre 1998.

 

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