Combining Multiple Cues for Pedestrian Detection in Crowded Situations
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6. Acknowledgements
little DR. To further discuss the comple mentary property
of HFC and BCR, we exhibit the detection rate of these
three methods for every frame in Figure 7. Obviously,
HFC and BCR are complementary of each other as the
red and blue lines shown.
This research is partially supported by the project grant
101-2221-E-327-038-.
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5. Conclusions
This paper presents a method for pedestrian detection in
a crowd scene. Firstly, the foreground regions are seg-
mented from background by using background subtrac-
tion technique and the circular Hough transform is used
to extract the head candidates By combining two com-
plementary features HFC and BCR, the experiment re-
sults of three videos show that the proposed method can
reduce the false positive rate at the expense of little de-
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