A Vision-Based System for Traffic Anomaly Detection Using Deep Learning and Decision Trees

Armstrong Aboah. A Vision-Based System for Traffic Anomaly Detection Using Deep Learning and Decision Trees. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021. pages 4207-4212, Computer Vision Foundation / IEEE, 2021. [doi]

@inproceedings{Aboah21,
  title = {A Vision-Based System for Traffic Anomaly Detection Using Deep Learning and Decision Trees},
  author = {Armstrong Aboah},
  year = {2021},
  doi = {10.1109/CVPRW53098.2021.00475},
  url = {https://doi.org/10.1109/CVPRW53098.2021.00475},
  researchr = {https://researchr.org/publication/Aboah21},
  cites = {0},
  citedby = {0},
  pages = {4207-4212},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021},
  publisher = {Computer Vision Foundation / IEEE},
  isbn = {978-1-6654-4899-4},
}