This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication

Year(s) from:  to 
Keywords (separated by spaces):

Real-time Detection of Unusual Regions in Image Streams

R. Schuster, R. Mörzinger, W. Haas, H. Grabner, and L. Van Gool.
In Proceedings ACM International Conference on Multimedia - Video Program


Automatic and real-time identification of unusual incidents is important for event detection and alarm systems. In today's camera surveillance solutions video streams are displayed on-screen for human operators, e.g. in large multiscreen control centers. This in turn requires the attention of operators for unusual events and urgent response. This paper presents a method for the automatic identification of unusual visual content in video streams real-time. In contrast to explicitly modeling specific unusual events, the proposed approach incrementally learns the usual appearances from the visual source and simultaneously identifes potential unusual image regions in the scene. Experiments demonstrate the general applicability on a variety of large-scale datasets including different scenes from public web cams and from trafic monitoring. To further demonstrate the real-time capabilities of the unusual scene detection we actively control a Pan-Tilt-Zoom camera to get close up views of the unusual incidents.

Download in pdf format
  author = {R. Schuster and R. M\"orzinger and W. Haas and H. Grabner and and L. Van Gool. },
  title = {Real-time Detection of Unusual Regions in Image Streams},
  booktitle = {In Proceedings ACM International Conference on Multimedia - Video Program},
  year = {2010},
  keywords = {}