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Crowd Counting

Crowd Counting is a task to count people in image. It is mainly used in real-life for automated public monitoring such as surveillance and traffic control. Different from object detection, Crowd Counting aims at recognizing arbitrarily sized targets in various situations including sparse and cluttering scenes at the same time.

Source: Deep Density-aware Count Regressor

Papers

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Showing 181–190 of 371 papers

TitleStatusHype
Crowd Counting with Sparse Annotation—0
Crowd Density Estimation using Imperfect Labels—0
Crowd Density Estimation using Novel Feature Descriptor—0
CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion Models—0
CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability—0
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP—0
Crowd Scene Analysis using Deep Learning Techniques—0
Crowd Transformer Network—0
Cumulative Attribute Space for Age and Crowd Density Estimation—0
Curriculum for Crowd Counting -- Is it Worthy?—0
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