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Publications

2012

  1. Real-time Activity Repetition Detection Markus Murschitz, Thomas Mauthner, Peter M. Roth, and Horst Bischof In Proc. Computer Vision Winter Workshop, 2012
  2. Text Localization in Unconstrained Images Georg Poier, Jürgen Hatzl, Stefan Kluckner, Peter M. Roth, and Horst Bischof In Proc. Computer Vision Winter Workshop, 2012
  3. Unsupervised Calibration of Camera Networks and Virtual PTZ Cameras Horst Possegger, Matthias Rüther, Sabine Sternig, Thomas Mauthner, Manfred Klopschitz, Peter M. Roth, and Horst Bischof In Proc. Computer Vision Winter Workshop, 2012
  4. Slow feature analysis for autonomous learning object categories from videos Max Stricker, Peter M. Roth, and Horst Bischof In Proc. Computer Vision Winter Workshop, 2012

2011

  1. Open Source Intelligence am Beispiel von KIRAS MDL: Multimedia Documentation Lab Gerhard Backfried, Dorothea Aniola, Gerald Quirchmayr, Werner Winiwarter, Klaus Mak, H. C. Pilles, Christian Meurers, Martin Koestinger, Paul Wohlhart, and Peter M. Roth In Proceedings of 9. Sicherheitskonferenz Krems, Donau-Universitaet Krems, 2011
  2. Hough-based Tracking of Non-rigid ObjectsMartin Godec, Peter M. Roth, and Horst Bischof In Proc. Int. Conf. on Computer Vision, 2011
  3. Person Re-Identification by Descriptive and Discriminative ClassificationMartin Hirzer, Csaba Beleznai, Peter M. Roth, and Horst Bischof In Proc. Scandinavian Conf. on Image Analysis, 2011
    (The original publication is available at www.springerlink.com)
  4. Learning to Recognize Faces from Videos and Weakly Related Information CuesMartin Koestinger, Paul Wohlhart, Peter M. Roth, and Horst Bischof In Proc. IEEE Int'l Conf. on Advanced Video and Signal-Based Surveillance, 2011
  5. Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark LocalizationMartin Koestinger, Paul Wohlhart, Peter M. Roth, and Horst Bischof In First IEEE International Workshop on Benchmarking Facial Image Analysis Technologies, 2011
  6. Improving Classifiers with Unlabeled Weakly-Related VideosChristian Leistner, Martin Godec, Samuel Schulter, Amir Saffari, Manuel Werlberger, and Horst Bischof In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2011
  7. On-line Hough ForestsSamuel Schulter, Christian Leistner, Peter M. Roth, Luc Van Gool, and Horst Bischof In Proc. British Machine Vision Conf., 2011
  8. Multi-Cue Learning and Visualization of Unusual Events Rene Schuster, Samuel Schulter, Georg Poier, Martin Hirzer, Josef Birchbauer, Peter M. Roth, Horst Bischof, Martin Winter, and Peter Schallauer In Proc. 11th IEEE Workshop on Visual Surveillance (ICCV), 2011
  9. On-line Inverse Multiple Instance Boosting for Classifier GridsSabine Sternig, Peter M. Roth, and Horst Bischof Pattern Recognition Letters, 2011
  10. Multi-camera Multi-object Tracking by Robust Hough-based Homography ProjectionsSabine Sternig, Thomas Mauthner, Arnold Irschara, Peter M. Roth, and Horst Bischof In Proc. 11th IEEE Workshop on Visual Surveillance (ICCV), 2011
  11. Multiple Instance Boosting for Face Recognition in VideosPaul Wohlhart, Martin Koestinger, Peter M. Roth, and Horst Bischof In Proc. DAGM Symposium, 2011
  12. Learning Face Recognition in Videos from Associated Information Sources Paul Wohlhart, Martin Koestinger, Peter M. Roth, and Horst Bischof In Proc. Workshop of the Austrian Association for Pattern Recognition, 2011
  13. Proc. 16th Computer Vision Winter WorkshopAndreas Wendel, Sabine Sternig, and Martin Godec, eds. Verlag der Technische Universitaet Graz, 2011

2010

  1. Multimedia Documentation LabGerhard Backfried, Dorothea Aniola, Klaus Mak, H.C. Pilles, Gerald Quirchmayr, Werner Winiwarter, and Peter M. Roth In Proc. Int'l Conf. on Knowledge Management and Knowledge Technologies, 2010
  2. Centralized Information Fusion for Learning Object Detectors in Multi-Camera NetworksArmin Berger, Peter M. Roth, Christian Leistner, and Horst Bischof In Proc. Workshop of the Austrian Association for Pattern Recognition, 2010
  3. Video Detection of Dangerous Goods Vehicles in Road Tunnels Josef Birchbauer, Martin Koestinger, Paul Wohlhart, Peter M. Roth, Horst Bischof, and Claudia Windisch In Proc. Tunnel Safety and Ventilation, 2010
  4. Autonomous Audio-Supported Learning of Visual Classifiers for Traffic MonitoringHorst Bischof, Martin Godec, Christian Leistner, Andreas Starzacher, and Bernhard Rinner IEEE Intelligent Systems, 2010
  5. On-line Random Naive Bayes for TrackingMartin Godec, Christian Leistner, Amir Saffari, and Horst Bischof In Proc. Int. Conf. on Pattern Recognition, 2010
  6. Context-driven Clustering by Multi-class Classification in an Active Learning FrameworkMartin Godec, Sabine Sternig, Peter M. Roth, and Horst Bischof In Proc. Workshop on Use of Context in Video Processing (CVPR), 2010
  7. MIForests: Multiple-Instance Learning with Randomized TreesChristian Leistner, Amir Saffari, and Horst Bischof In Proc. European Conf. on Computer Vision, 2010
  8. Online Multi-View Forests for TrackingChristian Leistner, Martin Godec, Amir Saffari, and Horst Bischof In Proc. DAGM Symposium, 2010
  9. Efficient Object Detection Using Orthogonal NMF Descriptor HierarchiesThomas Mauthner, Stefan Kluckner, Peter M. Roth, and Horst Bischof In Proc. DAGM Symposium, 2010
  10. Temporal Feature Weighting for Prototype-Based Action RecognitionThomas Mauthner, Peter M. Roth, and Horst Bischof In Proc. Asian Conf. on Computer Vision, 2010
  11. Multiple Instance Learning from Multiple CamerasPeter M. Roth, Christian Leistner, Armin Berger, and Horst Bischof In Proc. IEEE Workshop on Camera Networks (CVPR), 2010
  12. Automatic Detection and Reading of Dangerous Goods PlatesPeter M. Roth, Martin Koestinger, Paul Wohlhart, Horst Bischof, and Josef Birchbauer In Proc. IEEE Int'l Conf. on Advanced Video and Signal-Based Surveillance, 2010
  13. Online Multi-Class LPBoostAmir Saffari, Martin Godec, Thomas Pock, Christian Leistner, and Horst Bischof In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2010
  14. Robust Multi-View Boosting with PriorsAmir Saffari, Christian Leistner, Martin Godec,, and Horst Bischof In Proc. European Conf. on Computer Vision, 2010
  15. PROST: Parallel Robust Online Simple TrackingJakob Santner, Christian Leistner, Amir Saffari, and Horst Bischof In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2010
  16. TransientBoost: On-line Boosting with Transient DataSabine Sternig, Martin Godec, Peter M. Roth, and Horst Bischof In Proc. IEEE Online Learning for Computer Vision Workshop (CVPR), 2010
  17. Robust object detection by classifier cubes and local verification Sabine Sternig, Hayko Riemenschneider, Peter M. Roth, Michael Donoser, and Horst Bischof In Proc. Workshop of the Austrian Association for Pattern Recognition, 2010
  18. Inverse Multiple Instance Learning for Classifier GridsSabine Sternig, Peter M. Roth, and Horst Bischof In Proc. IEEE Int'l Conf. on Pattern Recognition, 2010
  19. Learning of Scene-Specific Object Detectors by Classifier Co-GridsSabine Sternig, Peter M. Roth, and Horst Bischof In Proc. IEEE Int'l Conf. on Advanced Video and Signal-Based Surveillance, 2010
  20. Efficient Robust Active Appearance Model FittingMarkus Storer, Peter M. Roth, Martin Urschler, Horst Bischof, and Josef A. Birchbauer In Communications in Computer and Information Science, vol. 68, Springer, 2010
  21. 3D Camera Tracking in Unknown Environments using On-line Keypoint LearningPaul Wohlhart, Peter M. Roth, and Horst Bischof In Proc. Computer Vision Winter Workshop, 2010
  22. Online Semi-Supervised Multiple-Instance BoostingBernhard Zeisl, Christian Leistner, Amir Saffari, and Horst Bischof In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2010
  23. Audio-Visual Co-Training for Vehicle ClassificationM. Godec, C. Leistner, H. Bischof, A. Starzacher, and B. Rinner In IEEE Conference on Advanced Video and Signal Based Surveillance, 2010

2009

  1. Saliency Driven Total Variation SegmentationMichael Donoser, Martin Urschler, Martin Hirzer, and Horst Bischof In Proc. International Conference on Computer Vision, 2009
  2. A level set framework using a new incremental, robust Active Shape Model for object segmentation and tracking Michael Fussenegger, Peter M. Roth, Rachid Deriche, Horst Bischof, and Axel Pinz Image and Vision Computing 27: 1157-1168, 2009
  3. Speeding Up Semi-Supervised On-line Boosting for TrackingMartin Godec, Helmut Grabner, Christian Leistner, and Horst Bischof In Proc. Workshop of the Austrian Association for Pattern Recognition, 2009
  4. An Automatic Hybrid Segmentation Approach for Aligned Face Portrait ImagesMartin Hirzer, Martin Urschler, Horst Bischof, and Josef A. Birchbauer In Proc. Workshop of the Austrian Association for Pattern Recognition, 2009
  5. TVGraz: Multi-Modal Learning of Object Categories by Combining Textual and Visual FeaturesInayatullah Khan, Amir Saffari, and Horst Bischof In Proc. Workshop of the Austrian Association for Pattern Recognition, 2009
  6. Semantic Image Classification using Consistent Regions and Individual ContextStefan Kluckner, Thomas Mauthner, Peter M. Roth, and Horst Bischof In Proc. British Machine Vision Conf., 2009
  7. Semantic Classification in Aerial Imagery by Integrating Appearance and Height InformationStefan Kluckner, Thomas Mauthner, Peter M. Roth, and Horst Bischof In Proc. Asian Conf. on Computer Vision, 2009
  8. On Robustness of On-line Boosting - A Competitive StudyChristian Leistner, Amir R. Saffari A. A., Peter M. Roth, and Horst Bischof In Proc. IEEE On-line Learning for Computer Vision Workshop, 2009
  9. On-line Random ForestsAmir Saffari, Christian Leistner, Jakob Santner, Martin Godec, and Horst Bischof In Proc. IEEE On-line Learning for Computer Vision Workshop, 2009
  10. Semi-Supervised Random ForestsChristian Leistner, Amir Saffari, and Horst Bischof In Proc. Int'l Conf. on Computer Vision, 2009
  11. Action Recognition from a Small Number of FramesThomas Mauthner, Peter M. Roth, and Horst Bischof In Proc. Computer Vision Winter Workshop, 2009
  12. Instant Action RecognitionThomas Mauthner, Peter M. Roth, and Horst Bischof In Proc. Scandinavian Conf. on Image Analysis, 2009
  13. Online Learning of Person Detectors by Co-Training from Multiple Cameras Peter M. Roth, Christian Leistner, Helmut Grabner, and Horst Bischof In Multi-Camera Networks, Principles and Applications, pages 313-334, Academic Press, 2009
  14. Efficient Human Action Recognition by Cascaded Linear ClassificationPeter M. Roth, Thomas Mauthner, Inayatulla Khan, and Horst Bischof In Proc. IEEE Workshop on Video-Oriented Object and Event Classification, 2009
  15. Classifier Grids for Robust Adaptive Object DetectionPeter M. Roth, Sabine Sternig, Helmut Grabner, and Horst Bischof In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2009
  16. Proc. 33rd Workshop of the Austrian Association for Pattern RecognitionPeter M. Roth, Thomas Mauthner, and Thomas Pock, eds. Austrian Computer Society, 2009
  17. Online Random ForestsAmir R. Saffari A. A., Christian Leistner, and Horst Bischof In Proc. IEEE On-line Learning for Computer Vision Workshop, 2009
  18. Regularized Multi-Class Semi-Supervised BoostingAmir R. Saffari A. A., Christian Leistner, and Horst Bischof In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2009
  19. Interactive Texture Segmentation using Random Forests and Total VariationJakob Santner, Markus Unger, Thomas Pock, Christian Leistner, Amir R. Saffari A. A., and Horst Bischof In Proc. British Machine Vision Conf., 2009
  20. Robust Adaptive Classifier Grids for Object Detection from Static CamerasSabine Sternig, Peter M. Roth, Helmut Grabner, and Horst Bischof In Proc. Computer Vision Winter Workshop, 2009
  21. Fast-Robust PCAMarkus Storer, Peter M. Roth, Martin Urschler, and Horst Bischof In Proc. Scandinavian Conf. on Image Analysis, 2009
  22. Active Appearance Model Fitting Under Occlusion Using Fast-Robust PCAMarkus Storer, Peter M. Roth, Martin Urschler, Horst Bischof, and Josef A. Birchbauer In Proc. International Conference on Computer Vision Theory and Applications, 2009
  23. Efficient Classification for Large-scale Problems by Multiple LDA SubspacesMartina Uray, Peter M. Roth, and Horst Bischof In Proc. International Conference on Computer Vision Theory and Applications, 2009

2008

  1. Semi-Supervised Boosting using Visual Similarity LearningChristian Leistner, Helmut Grabner, and Horst Bischof In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2008
  2. Semi-Supervised Boosting On-line Boosting for Robust TrackingHelmut Grabner, Christian Leistner, and Horst Bischof In Proc. European Conf. on Computer Vision, 2008
  3. Time-dependent On-line Boosting for Robust Background ModelingHelmut Grabner, Christian Leistner, and Horst Bischof In Proc. International Conference on Computer Vision Theory and Applications, 2008
  4. Visual On-line Learning in Distributed Camera NetworksChristian Leistner, Peter M. Roth, Helmut Grabner, Andreas Starzacher, Horst Bischof, and Bernhard Rinner In Proc. Int'l Conf. on Distributed Smart Cameras, 2008
  5. Conservative Learning for Object DetectorsPeter M. Roth and Horst Bischof In Machine Learning Techniques for Multimedia, Springer, 2008
  6. Active Sampling via TrackingPeter M. Roth and Horst Bischof In Proc. IEEE Online Learning for Classification Workshop (CVPR), 2008
  7. InterActive Learning a Person Detector: Fewer Clicks - Less FrustrationPeter M. Roth, Helmut Grabner, Christian Leistner, Martin Winter, and Horst Bischof In Proc. Workshop of the Austrian Association for Pattern Recognition, 2008
  8. 3D tracking in unknown environments using on-line keypoint learning for mobile augmented realitySchall, G., Grabner, H., Grabner, M., Wohlhart, P., Schmalstieg, D., and Bischof, H. In Proc. IEEE Computer Vision and Pattern Recognition Workshops (CVPRW), 2008

2007

  1. Eigenboosting: Combining Discriminative and Generative InformationHelmut Grabner, Peter M. Roth, and Horst Bischof In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2007
  2. Is Pedestrian Detection Really a Hard Task?Helmut Grabner, Peter M. Roth, and Horst Bischof In Proc. IEEE Intern. Workshop on Performance Evaluation of Tracking and Surveillance, 2007
  3. Incremental LDA Learning by Combining Reconstructive and Discriminative ApproachesMartina Uray, Danijel Skovcaj, Peter M. Roth, Horst Bischof, and Alevs Leonardis In Proc. British Machine Vision Conf., 2007

2006

  1. On-line, incremental learning of a robust active shape modelMichael Fussenegger, Peter M. Roth, Horst Bischof, and Axel Pinz In Proc. DAGM Symposium, 2006
  2. Autonomous Learning of a Robust Background Model for Change DetectionHelmut Grabner, Peter M. Roth, Michael Grabner, and Horst Bischof In Proc. IEEE Intern. Workshop on Performance Evaluation of Tracking and Surveillance, 2006
  3. On-line Learning a Person Model from Video DataPeter M. Roth and Horst Bischof In Video Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2006
  4. Tracking for Learning an Object Representation from Unlabeled DataPeter M. Roth, Michael Donoser, and Horst Bischof In Proc. Computer Vision Winter Workshop, 2006
  5. On-line Learning of Unknown Hand Held Objects via TrackingPeter M. Roth, Michael Donoser, and Horst Bischof In Proc. Second Intern. Cognitive Vision Workshop, 2006
  6. Incremental Robust Learning an Active Shape ModelPeter M. Roth, Michael Fussenegger, Axel Pinz, and Horst Bischof In Proc. Workshop of the Austrian Association for Pattern Recognition, 2006

2005

  1. Object Detection with Bootstrapped LearningPeter M. Roth, Horst Bischof, Danijel Skocaj, and Ales Leonardis In Proc. Computer Vision Winter Workshop, 2005
  2. Conservative Visual Learning for Object Detection with Minimal Hand Labeling EffortPeter M. Roth, Helmut Grabner, Danijel Skocaj, Horst Bischof, and Ales Leonardis In Proc. DAGM Symposium, 2005
  3. On-line conservative learning for person detectionPeter M. Roth, Helmut Grabner, Danijel Skocaj, Horst Bischof, and Ales Leonardis In Proc. IEEE Intern. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005

Theses

2011

  1. A Transformation Invariant Learning Approach for Detection and Tracking using Weakly-Related Videos Samuel Schulter MSc. Thesis, Graz University of Technology, Faculty of Computer Science, 2011

2010

  1. Centralized Information Fusion for Learning Object Detectors in Multi-Camera Networks Armin Berger MSc. Thesis, Graz University of Technology, Faculty of Computer Science, 2010
  2. Semi-Supervised Ensemble Methods for Computer Vision Christian Leistner Ph.D. Thesis, Graz University of Technology, Faculty of Computer Science, 2010
  3. Multi-Class Semi-Supervised and Online BoostingAmir Saffari Ph.D. Thesis, Graz University of Technology, Faculty of Computer Science, 2010
  4. Training On-line Boosting Classifiers on Asymmetric Datasets Nebojsa Simic MSc. Thesis, Graz University of Technology, Faculty of Computer Science, 2010

2009

  1. An Object Recognition System for planar Trademark and Logo Retrieval Martin Koestinger MSc. Thesis, Graz University of Technology, Faculty of Computer Science, 2009
  2. Object Detection from Aerial Images Thuy Nguyen Ph.D. Thesis, Graz University of Technology, Faculty of Computer Science, 2009
  3. Tracking on-line learned Natural Features for Mobile Augmented RealityPaul Wohlhart MSc. Thesis, Graz University of Technology, Faculty of Computer Science, 2009

2008

  1. Robust Object Tracking using Semi-Supervised On-line BoostingMartin Godec MSc. Thesis, Graz University of Technology, Faculty of Computer Science, 2008
  2. Segmentation of Face Images Martin Hirzer MSc. Thesis, Graz University of Technology, Faculty of Computer Science, 2008
  3. Online Learning from Multiple Cameras Emile Richard MSc. Thesis, Graz University of Technology, Faculty of Computer Science, 2008
  4. On-line Conservative LearningPeter M. Roth Ph.D. Thesis, Graz University of Technology, Faculty of Computer Science, 2008
  5. Robust Object Detection Using an On-line Learned Classifier Grid Sabine Sternig MSc. Thesis, Graz University of Technology, Faculty of Computer Science, 2008

Technical Reports

2010

  1. Planar Trademark and Logo RetrievalMartin Koestinger, Peter M. Roth, and Horst Bischof Technical Report, Graz University of Technology, Inst. f. Computer Graphics and Vision, ICG-TR-10/01, 2010 (Presented at Computer Vision Winter Workshop 2010)

2009

  1. Learning Person Detectors from Multiple Cameras Peter M. Roth, Christian Leistner, and Horst Bischof Technical Report, Graz University of Technology, Inst. f. Computer Graphics and Vision, ICG-TR-03/09, 2009
  2. KIRAS-MDL State-of-the-Art Report Martin Koestinger, Paul Wohlhart, Peter M. Roth, and Horst Bischof Technical Report, Graz University of Technology, Inst. f. Computer Graphics and Vision, ICG-TR-09/09, 2009

2008

  1. Survey of Appearance-based Methods for Object RecognitionPeter M. Roth and Martin Winter Technical Report, Graz University of Technology, Inst. f. Computer Graphics and Vision, ICG-TR-01/08, 2008

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