ML Anthology

Efficient Tracking of Many Objects in Structured Environments

Nathan Jacobs, Michael Dixon, Scott Satkin, Robert Pless
ICCVW 2009 pp. 1161-1168
doi:10.1109/ICCVW.2009.5457477 /iccvw/2009/jacobs2009iccvw-efficient/

Abstract

We consider the special case of tracking objects in highly structured scenes. In the context of vehicle tracking in urban environments, we offer a fully automatic, end-to-end system that discovers and parametrizes the lanes along which vehicles drive, then uses just these pixels to simultaneously track dozens of objects. This system includes a novel active contour energy function used to parametrize the lanes of travel based only on the accumulation of spatio-temporal image derivatives, and a tracking algorithm that exploits longer temporal constraints made possible by our compact data representation; we believe both of these may be of independent interest. We offer quantitative results comparing tracking results to ground-truthed data, including thousands of vehicles from the NGSIM Peachtree data set.

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Text

Jacobs et al. "Efficient Tracking of Many Objects in Structured Environments." IEEE/CVF International Conference on Computer Vision Workshops, 2009. doi:10.1109/ICCVW.2009.5457477

Markdown

[Jacobs et al. "Efficient Tracking of Many Objects in Structured Environments." IEEE/CVF International Conference on Computer Vision Workshops, 2009.](https://mlanthology.org/iccvw/2009/jacobs2009iccvw-efficient/) doi:10.1109/ICCVW.2009.5457477

BibTeX

@inproceedings{jacobs2009iccvw-efficient,
  title     = {{Efficient Tracking of Many Objects in Structured Environments}},
  author    = {Jacobs, Nathan and Dixon, Michael and Satkin, Scott and Pless, Robert},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2009},
  pages     = {1161-1168},
  doi       = {10.1109/ICCVW.2009.5457477},
  url       = {https://mlanthology.org/iccvw/2009/jacobs2009iccvw-efficient/}
}