2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Learning Extremely High Density Crowds as Active Matters
Feixiang He, Jiangbei Yue, Jialin Zhu +4
Video-based high-density crowd analysis and prediction has been a long-standing topic in computer vision. It is notoriously difficult due to, but not limited to, the lack of high-q…
physics.soc-ph2024★ 2 cited
Eliminating Bias in Pedestrian Density Estimation: A Voronoi Cell Perspective
Pratik Mullick, Cécile Appert-Rolland, William H. Warren +1
For pedestrians moving without spatial constraints, extensive research has been devoted to develop methods of density estimation. In this paper we present a new approach based on V…