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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 261–270 of 371 papers

TitleStatusHype
Vicinal Counting Networks—0
Fast Video Crowd Counting with a Temporal Aware Network—0
Video Individual Counting for Moving Drones—0
VMambaCC: A Visual State Space Model for Crowd Counting—0
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
Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting—0
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