Multimodal highway monitoring for robust incident detection

by Michael Pucher, Dietmar Schabus, Peter Schallauer, Yuriy Lypetskyy, Franz Graf, Harald Rainer, Michael Stadtschnitzer, Sabine Sternig, Josef Birchbauer, Wolfgang Schneider, Bernhard Schalko
Abstract:
We present detection and tracking methods for highway monitoring based on video and audio sensors, and the combination of these two modalities. We evaluate the performance of the different systems on realistic data sets that have been recorded on Austrian highways. It is shown that we can achieve a very good performance for video-based incident detection of wrong-way drivers, still standing vehicles, and traffic jams. Algorithms for simultaneous vehicle and driving direction detection using microphone arrays were evaluated and also showed a good performance on these tasks. Robust tracking in case of difficult weather conditions is achieved through multimodal sensor fusion of video and audio sensors.
Reference:
Michael Pucher, Dietmar Schabus, Peter Schallauer, Yuriy Lypetskyy, Franz Graf, Harald Rainer, Michael Stadtschnitzer, Sabine Sternig, Josef Birchbauer, Wolfgang Schneider, Bernhard Schalko, “Multimodal highway monitoring for robust incident detection”, In Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems (ITSC), Madeira, Portugal, pp. 837-842, 2010.
Bibtex Entry:
@InProceedings{Pucher2010b,
  Title                    = {Multimodal highway monitoring for robust incident detection},
  Author                   = {Pucher, Michael and Schabus, Dietmar and Schallauer, Peter and Lypetskyy, Yuriy and Graf, Franz and Rainer, Harald and Stadtschnitzer, Michael and Sternig, Sabine and Birchbauer, Josef and Schneider, Wolfgang and Schalko, Bernhard},
  Booktitle                = {Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems (ITSC)},
  Year                     = {2010},

  Address                  = {Madeira, Portugal},
  Month                    = sep,
  Pages                    = {837-842},

  Abstract                 = {We present detection and tracking methods for
highway monitoring based on video and audio sensors, and
the combination of these two modalities. We evaluate the
performance of the different systems on realistic data sets that
have been recorded on Austrian highways. It is shown that we
can achieve a very good performance for video-based incident
detection of wrong-way drivers, still standing vehicles, and
traffic jams. Algorithms for simultaneous vehicle and driving
direction detection using microphone arrays were evaluated
and also showed a good performance on these tasks. Robust
tracking in case of difficult weather conditions is achieved
through multimodal sensor fusion of video and audio sensors.},
  Doi                      = {10.1109/ITSC.2010.5625035},
  ISSN                     = {2153-0009},
}