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Sabine Sternig

Peter M. Roth

Short CV

Peter Roth received a MSc degree (Dipl.-Ing.) in Mathematics and a PhD degree (Dr.techn) in Computer Science, both from Graz University of Technology in 2002 and 2008, respectively. He is currently a postdoc researcher at the Institute for Computer Graphics and Vision at Graz University of Technology. His research interests are mainly object recogniton/detection and machine learning for vision in particular in the field of visual surveillance.

A full CV can be downloaded here!



Research

The main reseach interestis include: Further details can be found in the Research section of this page soon!



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. On-line Hough ForestsSamuel Schulter, Christian Leistner, Peter M. Roth, Luc Van Gool, and Horst Bischof In Proc. British Machine Vision Conf., 2011
  7. 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
  8. On-line Inverse Multiple Instance Boosting for Classifier GridsSabine Sternig, Peter M. Roth, and Horst Bischof Pattern Recognition Letters, 2011
  9. 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
  10. Multiple Instance Boosting for Face Recognition in VideosPaul Wohlhart, Martin Koestinger, Peter M. Roth, and Horst Bischof In Proc. DAGM Symposium, 2011
  11. 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

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. 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
  5. Efficient Object Detection Using Orthogonal NMF Descriptor HierarchiesThomas Mauthner, Stefan Kluckner, Peter M. Roth, and Horst Bischof In Proc. DAGM Symposium, 2010
  6. Temporal Feature Weighting for Prototype-Based Action RecognitionThomas Mauthner, Peter M. Roth, and Horst Bischof In Proc. Asian Conf. on Computer Vision, 2010
  7. Multiple Instance Learning from Multiple CamerasPeter M. Roth, Christian Leistner, Armin Berger, and Horst Bischof In Proc. IEEE Workshop on Camera Networks (CVPR), 2010
  8. 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
  9. 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
  10. 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
  11. Inverse Multiple Instance Learning for Classifier GridsSabine Sternig, Peter M. Roth, and Horst Bischof In Proc. IEEE Int'l Conf. on Pattern Recognition, 2010
  12. 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
  13. 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
  14. 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

2009

  1. 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
  2. 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
  3. 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
  4. 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
  5. Action Recognition from a Small Number of FramesThomas Mauthner, Peter M. Roth, and Horst Bischof In Proc. Computer Vision Winter Workshop, 2009
  6. Instant Action RecognitionThomas Mauthner, Peter M. Roth, and Horst Bischof In Proc. Scandinavian Conf. on Image Analysis, 2009
  7. 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
  8. 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
  9. 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
  10. Proc. 33rd Workshop of the Austrian Association for Pattern RecognitionPeter M. Roth, Thomas Mauthner, and Thomas Pock, eds. Austrian Computer Society, 2009
  11. 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
  12. Fast-Robust PCAMarkus Storer, Peter M. Roth, Martin Urschler, and Horst Bischof In Proc. Scandinavian Conf. on Image Analysis, 2009
  13. 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
  14. 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. 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
  2. Conservative Learning for Object DetectorsPeter M. Roth and Horst Bischof In Machine Learning Techniques for Multimedia, Springer, 2008
  3. Active Sampling via TrackingPeter M. Roth and Horst Bischof In Proc. IEEE Online Learning for Classification Workshop (CVPR), 2008
  4. 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

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

PhD Thesis

2008

  1. On-line Conservative LearningPeter M. Roth Ph.D. 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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