Multi-source Multi-scale Counting in Extremely Dense Crowd Images

@article{Idrees2013MultisourceMC,
  title={Multi-source Multi-scale Counting in Extremely Dense Crowd Images},
  author={Haroon Idrees and Imran Saleemi and Cody Seibert and Mubarak Shah},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2013},
  pages={2547-2554}
}
We propose to leverage multiple sources of information to compute an estimate of the number of individuals present in an extremely dense crowd visible in a single image. Due to problems including perspective, occlusion, clutter, and few pixels per person, counting by human detection in such images is almost impossible. Instead, our approach relies on multiple sources such as low confidence head detections, repetition of texture elements (using SIFT), and frequency-domain analysis to estimate… CONTINUE READING
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