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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 211–220 of 371 papers

TitleStatusHype
Weakly-Supervised Crowd Counting Learns from Sorting rather than Locations—0
Why Existing Multimodal Crowd Counting Datasets Can Lead to Unfulfilled Expectations in Real-World Applications—0
Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs—0
W-Net: Reinforced U-Net for Density Map Estimation—0
3D Crowd Counting via Geometric Attention-guided Multi-View Fusion—0
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images—0
A-CCNN: adaptive ccnn for density estimation and crowd counting—0
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement—0
Active Crowd Counting with Limited Supervision—0
Adaptive Density Map Generation for Crowd Counting—0
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