A structural filter approach to human detection

@inproceedings{Duan2010ASF,
  title={A structural filter approach to human detection},
  author={Genquan Duan and Haizhou Ai and Shihong Lao},
  booktitle={ECCV 2010},
  year={2010}
}
Occlusions and articulated poses make human detection much more difficult than common more rigid object detection like face or car. In this paper, a Structural Filter (SF) approach to human detection is presented in order to deal with occlusions and articulated poses. A three-level hierarchical object structure consisting of words, sentences and paragraphs in analog to text grammar is proposed and correspondingly each level is associated to a kind of SF, that is, Word Structural Filter (WSF… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 21 references

Depth and Appearance for Mobile Scene Analysis

2007 IEEE 11th International Conference on Computer Vision • 2007
View 7 Excerpts
Highly Influenced

Detector Ensemble

2007 IEEE Conference on Computer Vision and Pattern Recognition • 2007
View 10 Excerpts
Highly Influenced

Human detection using partial least squares analysis

2009 IEEE 12th International Conference on Computer Vision • 2009
View 5 Excerpts
Highly Influenced

Pictorial structures revisited: People detection and articulated pose estimation

2009 IEEE Conference on Computer Vision and Pattern Recognition • 2009
View 4 Excerpts
Highly Influenced

Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detectors

Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 • 2005
View 9 Excerpts
Highly Influenced

An HOG-LBP human detector with partial occlusion handling

2009 IEEE 12th International Conference on Computer Vision • 2009
View 1 Excerpt

Boosting Associated Pairing Comparison Features for pedestrian detection

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops • 2009
View 6 Excerpts

Multiple instance fFeature for robust part-based object detection

2009 IEEE Conference on Computer Vision and Pattern Recognition • 2009
View 1 Excerpt

A discriminatively trained, multiscale, deformable part model

2008 IEEE Conference on Computer Vision and Pattern Recognition • 2008
View 2 Excerpts

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