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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

Showing 271280 of 371 papers

TitleStatusHype
Crowd Counting with Deep Structured Scale Integration Network0
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-ConquerCode1
Enhanced 3D convolutional networks for crowd counting0
Bayesian Loss for Crowd Count Estimation with Point SupervisionCode0
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting0
Deep Density-aware Count RegressorCode0
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs0
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting0
HA-CCN: Hierarchical Attention-based Crowd Counting Network0
Locality-constrained Spatial Transformer Network for Video Crowd CountingCode0
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