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VIS / Intelligent Systems Group

Benjamin Höferlin

 

Universität Stuttgart
Institute for Visualization and Interactive Systems (VIS)
Universitätsstr. 38
70569 Stuttgart
Germany
Tel: +49 (0)711 685-88334
E-mail: benjamin.hoeferlin@vis.uni-stuttgart.de
Room: 1.456
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Research
Publications
Teaching
Student Theses
   Research     
Most of my research is focused on computer vision, especially on the analysis of video data. I'm currently working on "Visual Analytics for Video Data",
a project which is embeded in the DFG Priority Programme "Scalable Visual Analytics: Interactive Visual Analysis Systems of Complex Information Spaces" (SPP 1335).
   Publications     
2011
  • S. Brutzer, B. Höferlin, and G. Heidemann.
    Evaluation of Background Subtraction Techniques for Video Surveillance.
    In Computer Vision and Pattern Recognition (CVPR) , page (to appear). IEEE, 2011.

    [ps]   |   [pdf]   |   [bibtex]   |   [edit]

  • M. Höferlin, B. Höferlin, D. Weiskopf, and G. Heidemann.
    Interactive Schematic Summaries for Exploration of Surveillance Video.
    In ACM International Conference on Multimedia Retrieval (ICMR) , page (to appear). ACM, 2011.

    [ps]   |   [pdf]   |   [bibtex]   |   [edit]

  • R. Borgo, M. Chen, E. Grundy, B Daubney, G. Heidemann, B. Höferlin, M. Höferlin, H. Jänicke, D. Weiskopf, and X. Xie.
    A Survey on Video-based Graphics and Video Visualization.
    In EG 2011 - State of the Art Reports , page (to appear). Eurographics Association, 2011.

    [ps]   |   [pdf]   |   [bibtex]   |   [edit]

  • Markus Höferlin, Benjamin Höferlin, Daniel Weiskopf, and Gunther Heidemann.
    Uncertainty-Aware Video Visual Analytics of Tracked Moving Objects.
    Journal of Spatial Information Science (JOSIS) , 2:in press, 2011.

    [ps]   |   [pdf]   |   [bibtex]   |   [edit]


2010
  • B. Höferlin, Höferlin M., Weiskopf D., and Heidemann G.
    Information-Based Adaptive Fast-Forward for Visual Surveillance.
    Multimedia Tools and Applications , pages 1-24, 2010.

    [ps]   |   [pdf]   |   [bibtex]   |   [edit]   |   [suppl. material]

  • B. Höferlin and G. Heidemann.
    Selection of an Optimal Set of Discriminative and Robust Local Features with Application to Traffic Sign Recognition.
    In Proceedings of 18th International Conference on Computer Graphics, Visualization and Computer Vision, 2010, pages 9-16, 2010.

    [ps]   |   [pdf]   |   [bibtex]   |   [edit]


2009
  • Benjamin Höferlin and Klaus Zimmermann.
    Towards Reliable Traffic Sign Recognition.
    In Intelligent Vehicles Symposium, 2009 IEEE , pages 324-329. IEEE, June 2009.

    [ps]   |   [pdf]   |   [bibtex]   |   [edit]

  • H. Bosch, J. Heinrich, B. Höferlin, M. Höferlin, S. Koch, C. Müller, G. Reina, and M. Wörner.
    Innovative Filtering Techniques and Customized Analytics Tools.
    In IEEE Symposium on Visual Analytics Science and Technology, 2009. VAST'09 , pages 269-270, 2009.

    [ps]   |   [pdf]   |   [bibtex]   |   [edit]

  • M. Höferlin, B. Höferlin, and D. Weiskopf.
    Video Visual Analytics of Tracked Moving Objects.
    In Proceedings of 3rd Workshop on Behaviour Monitoring and Interpretation . Ghent University, Belgium, 11 2009.

    [ps]   |   [pdf]   |   [bibtex]   |   [edit]


2008
  • B. Höferlin.
    Verkehrszeichenerkennung.
    Diplomarbeit , Universität Stuttgart , May 2008.

    [ps]   |   [pdf]   |   [bibtex]   |   [edit]


   Awards     
  • VAST 09 Challenge Award - Video Mini Challenge: Outstanding Video Analysis Tool (link)
  • Rul Gunzenhäuser Preis 2009 (link)
   Teaching     
Summer Term 10
Summer Term 09
   Supervised Student Theses     
Open
  • Offene Studien- und Diplomarbeiten, sowie Fachstudien finden Sie hier
  • Further topics available on request
Finished
  • Diplomarbeit: Tracking von Gegenständen mit einem verteilten Multi-Kamera-System, Nr.3030, Stahr, F., 2010.
  • Diplomarbeit: Background Subtraction in der Videoüberwachung, Nr.2982, Brutzer, S., 2010.
  • Studienarbeit: Bewegungserkennung mithilfe von Rechteckmerkmalen, Nr.2288, Netzel, R., 2010.
  • Studienarbeit: Evaluation of Methods for Left Luggage Detection in Video Data, Nr.2203, Brutzer, S., 2009.
  • Fachstudie: Untersuchung intelligenter Videoüberwachungssysteme, Nr.109, Latuske, G. and Räuchle, J. and Röhle, N., 2010.