A discriminatively trained, multiscale, deformable part model

@article{Felzenszwalb2008ADT,
  title={A discriminatively trained, multiscale, deformable part model},
  author={Pedro F. Felzenszwalb and David A. McAllester and Deva Ramanan},
  journal={2008 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2008},
  pages={1-8}
}
This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a two-fold improvement in average precision over the best performance in the 2006 PASCAL person detection challenge. It also outperforms the best results in the 2007 challenge in ten out of twenty categories. The system relies heavily on deformable parts. While deformable part models have become quite popular, their value had not been demonstrated on difficult benchmarks… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 1,584 CITATIONS

A Novel Pedestrian Detection Method Based on Combination of LBP, HOG, and Haar-Like Features

  • 2018 IEEE International Conference on Electro/Information Technology (EIT)
  • 2018
VIEW 12 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Fashion analysis with a subordinate attribute classification network

  • 2017 IEEE International Conference on Multimedia and Expo (ICME)
  • 2017
VIEW 4 EXCERPTS
HIGHLY INFLUENCED

Task-oriented learning of structured probability distributions

VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Face detection based on deep convolutional neural networks exploiting incremental facial part learning

  • 2016 23rd International Conference on Pattern Recognition (ICPR)
  • 2016
VIEW 6 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Human detection from images and videos: A survey

VIEW 11 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

An MRF-Poselets Model for Detecting Highly Articulated Humans

  • 2015 IEEE International Conference on Computer Vision (ICCV)
  • 2015
VIEW 16 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2007
2019

CITATION STATISTICS

  • 282 Highly Influenced Citations

  • Averaged 116 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 21 REFERENCES

Histograms of oriented gradients for human detection

  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
  • 2005
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Hidden Conditional Random Fields

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2007
VIEW 2 EXCERPTS

Semantic Hierarchies for Recognizing Objects and Parts

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition
  • 2007

Using Segmentation to Verify Object Hypotheses

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition
  • 2007
VIEW 1 EXCERPT

Context and Hierarchy in a Probabilistic Image Model

  • 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)
  • 2006

Similar Papers

Loading similar papers…