An MRF based abnormal event detection approach using motion and appearance features

@article{Nallaivarothayan2014AnMB,
  title={An MRF based abnormal event detection approach using motion and appearance features},
  author={Hajananth Nallaivarothayan and Clinton Fookes and Simon Denman and Sridha Sridharan},
  journal={2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)},
  year={2014},
  pages={343-348}
}
Abnormal event detection has attracted a lot of attention in the computer vision research community during recent years due to the increased focus on automated surveillance systems to improve security in public places. Due to the scarcity of training data and the definition of an abnormality being dependent on context, abnormal event detection is generally formulated as a data-driven approach where activities are modeled in an unsupervised fashion during the training phase. In this work, we use… CONTINUE READING
Highly Cited
This paper has 28 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 18 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 15 references

Similar Papers

Loading similar papers…