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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 291–300 of 371 papers

TitleStatusHype
Residual Regression With Semantic Prior for Crowd CountingCode0
Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs—0
Counting and Segmenting Sorghum Heads—0
PCC Net: Perspective Crowd Counting via Spatial Convolutional NetworkCode0
Crowd Density Estimation using Novel Feature Descriptor—0
Crowd Transformer Network—0
Point in, Box out: Beyond Counting Persons in Crowds—0
W-Net: Reinforced U-Net for Density Map Estimation—0
CODA: Counting Objects via Scale-aware Adversarial Density AdaptionCode0
Crowd Counting with Decomposed Uncertainty—0
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