Multi-Cue Learning and Visualization of Unusual Events

Rene Schuster, Samuel Schulter, Georg Poier, Martin Hirzer, Josef Birchbauer, Peter Roth, Horst Bischof, Martin Winter, Peter Schallauer

Research output: Contribution to conference(Old data) Lecture or Presentationpeer-review


Unusual event detection, i.e., identifying unspecified rare/critical events, has become one of the major challenges in visual surveillance. The main solution for this problem is to describe local or global normalness and to report events that do not fit to the estimated models. The majority of existing approaches, however, is limited to a single description (e.g., either appearance or motion) and/or builds on inflexible (unsupervised) learning techniques, both clearly degrading the practical applicability. To overcome these limitations, we demonstrate a system that is capable of extracting and modeling several representations in parallel, while in addition allows for user interaction within a continuous learning setup. Novel yet intuitive concepts of result visualization and user interaction will be presented that allow for exploiting the underlying data.
Original languageEnglish
Publication statusPublished - 6 Nov 2011
Event11th IEEE Workshop on Visual Surveillance 2011 - Barcelona, Spain
Duration: 6 Nov 201113 Nov 2011


Conference11th IEEE Workshop on Visual Surveillance 2011

Fields of Expertise

  • Information, Communication & Computing


Dive into the research topics of 'Multi-Cue Learning and Visualization of Unusual Events'. Together they form a unique fingerprint.

Cite this