ML Anthology

Robust Object Detection via Soft Cascade

Lubomir D. Bourdev, Jonathan Brandt
CVPR 2005 pp. 236-243
doi:10.1109/CVPR.2005.310 /cvpr/2005/bourdev2005cvpr-robust/

Abstract

We describe a method for training object detectors using a generalization of the cascade architecture, which results in a detection rate and speed comparable to that of the best published detectors while allowing for easier training and a detector with fewer features. In addition, the method allows for quickly calibrating the detector for a target detection rate, false positive rate or speed. One important advantage of our method is that it enables systematic exploration of the ROC surface, which characterizes the trade-off between accuracy and speed for a given classifier.

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Cite

Text

Bourdev and Brandt. "Robust Object Detection via Soft Cascade." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.310

Markdown

[Bourdev and Brandt. "Robust Object Detection via Soft Cascade." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/bourdev2005cvpr-robust/) doi:10.1109/CVPR.2005.310

BibTeX

@inproceedings{bourdev2005cvpr-robust,
  title     = {{Robust Object Detection via Soft Cascade}},
  author    = {Bourdev, Lubomir D. and Brandt, Jonathan},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {236-243},
  doi       = {10.1109/CVPR.2005.310},
  url       = {https://mlanthology.org/cvpr/2005/bourdev2005cvpr-robust/}
}