Pose Determination and Recognition of Vehicles in Traffic Scenes

Abstract

This paper concerns the pose determination and recognition of vehicles in traffic scenes, which under normal conditions stand on the ground-plane. Novel linear and closed-form algorithms are described for pose determination from an arbitrary number of known line matches. A form of the generalised Hough transform is used in conjuction with explicit probability-based voting models to find consistent matches. The algorithms are fast and robust. They cope well with complex outdoor scenes.

Cite

Text

Tan et al. "Pose Determination and Recognition of Vehicles in Traffic Scenes." European Conference on Computer Vision, 1994. doi:10.1007/3-540-57956-7_56

Markdown

[Tan et al. "Pose Determination and Recognition of Vehicles in Traffic Scenes." European Conference on Computer Vision, 1994.](https://mlanthology.org/eccv/1994/tan1994eccv-pose/) doi:10.1007/3-540-57956-7_56

BibTeX

@inproceedings{tan1994eccv-pose,
  title     = {{Pose Determination and Recognition of Vehicles in Traffic Scenes}},
  author    = {Tan, T. N. and Sullivan, Geoffrey D. and Baker, Keith D.},
  booktitle = {European Conference on Computer Vision},
  year      = {1994},
  pages     = {501-506},
  doi       = {10.1007/3-540-57956-7_56},
  url       = {https://mlanthology.org/eccv/1994/tan1994eccv-pose/}
}