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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 271–280 of 371 papers

TitleStatusHype
Crowd Counting on Images with Scale Variation and Isolated ClustersCode0
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting—0
Robust Regression via Deep Negative Correlation Learning—0
Crowd Counting with Deep Structured Scale Integration Network—0
Enhanced 3D convolutional networks for crowd counting—0
Bayesian Loss for Crowd Count Estimation with Point SupervisionCode0
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting—0
Deep Density-aware Count RegressorCode0
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs—0
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting—0
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