ECCV 2020poster54 citations

Estimating People Flows to Better Count Them in Crowded Scenes

Weizhe Liu, Mathieu Salzmann, Pascal Fua

Abstract

Modern methods for counting people in crowded scenes rely on deep networks to estimate people densities in individual images. As such, only very few take advantage of temporal consistency in video sequences, and those that do only impose weak smoothness constraints across consecutive frames.

BibTeX
@inproceedings{eccv2020_estimatingpeople,
  title = {Estimating People Flows to Better Count Them in Crowded Scenes},
  author = {Weizhe Liu and Mathieu Salzmann and Pascal Fua},
  booktitle = {ECCV 2020},
  year = {2020}
}
Estimating People Flows to Better Count Them in Crowded Scenes · ECCV 2020