Crowd Counting on Images with Scale Variation and Isolated Clusters

Crowd counting is to estimate the number of objects in an image of unconstrained congested scenes. Designing a general crowd counting algorithm applicable to a wide range of crowd images is challenging, mainly due to the possibly large variation in object scales and the presence of many isolated small clusters.

Data and Resources

Cite this as

Haoyue Bai, Song Wen, S.-H. Gary Chan (2024). Dataset: Crowd Counting on Images with Scale Variation and Isolated Clusters. https://doi.org/10.57702/75wzmxpo

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1909.03839
Author Haoyue Bai
More Authors
Song Wen
S.-H. Gary Chan
Homepage https://arxiv.org/abs/1904.07437