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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 6170 of 371 papers

TitleStatusHype
Leveraging Self-Supervision for Cross-Domain Crowd CountingCode1
Focal Inverse Distance Transform Maps for Crowd LocalizationCode1
Rethinking Counting and Localization in Crowds: A Purely Point-Based FrameworkCode1
Uniformity in Heterogeneity: Diving Deep Into Count Interval Partition for Crowd CountingCode1
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory SignalCode1
Localization in the Crowd with Topological ConstraintsCode1
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd CountingCode1
PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing ImagesCode1
Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large ScenesCode1
Counting People by Estimating People FlowsCode1
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