DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field

Peter Christiansen, Lars N. Nielsen, Kim Arild Steen, Rasmus N. Jørgensen, Henrik Karstoft. DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field. Sensors, 16(11):1904, 2016. [doi]

@article{ChristiansenNSJ16,
  title = {DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field},
  author = {Peter Christiansen and Lars N. Nielsen and Kim Arild Steen and Rasmus N. Jørgensen and Henrik Karstoft},
  year = {2016},
  doi = {10.3390/s16111904},
  url = {http://dx.doi.org/10.3390/s16111904},
  researchr = {https://researchr.org/publication/ChristiansenNSJ16},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {16},
  number = {11},
  pages = {1904},
}