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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.

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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

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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