A Hybrid Vehicle Detection Method Based on Viola-Jones and HOG + SVM from UAV Images

@inproceedings{Xu2016AHV,
  title={A Hybrid Vehicle Detection Method Based on Viola-Jones and HOG + SVM from UAV Images},
  author={Yongzheng Xu and Guizhen Yu and Yunpeng Wang and Xinkai Wu and Yalong Ma},
  booktitle={Sensors},
  year={2016}
}
A new hybrid vehicle detection scheme which integrates the Viola-Jones (V-J) and linear SVM classifier with HOG feature (HOG + SVM) methods is proposed for vehicle detection from low-altitude unmanned aerial vehicle (UAV) images. As both V-J and HOG + SVM are sensitive to on-road vehicles' in-plane rotation, the proposed scheme first adopts a roadway orientation adjustment method, which rotates each UAV image to align the roads with the horizontal direction so the original V-J or HOG + SVM… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 38 references

Fast Multiclass Vehicle Detection on Aerial Images

IEEE Geoscience and Remote Sensing Letters • 2015
View 11 Excerpts
Highly Influenced

Automatic Car Counting Method for Unmanned Aerial Vehicle Images

IEEE Transactions on Geoscience and Remote Sensing • 2014
View 8 Excerpts
Highly Influenced

Detecting Cars in UAV Images With a Catalog-Based Approach

IEEE Transactions on Geoscience and Remote Sensing • 2014
View 8 Excerpts
Highly Influenced

LSD: A Fast Line Segment Detector with a False Detection Control

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2010
View 4 Excerpts
Highly Influenced

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2015
View 3 Excerpts
Highly Influenced

Vehicle Detection and Motion Analysis in Low-Altitude Airborne Video Under Urban Environment

IEEE Transactions on Circuits and Systems for Video Technology • 2011
View 5 Excerpts
Highly Influenced

ViBe: A Universal Background Subtraction Algorithm for Video Sequences

IEEE Transactions on Image Processing • 2011
View 4 Excerpts
Highly Influenced

Airborne video registration and traffic-flow parameter estimation

IEEE Transactions on Intelligent Transportation Systems • 2005
View 5 Excerpts
Highly Influenced

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