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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 101–110 of 371 papers

TitleStatusHype
Crowd counting with crowd attention convolutional neural network—0
Causal Influence in Federated Edge Inference—0
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps—0
Cascaded Residual Density Network for Crowd Counting—0
A Study of Human Gaze Behavior During Visual Crowd Counting—0
Crowd Counting with Decomposed Uncertainty—0
CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting—0
Crowd Counting with Deep Structured Scale Integration Network—0
Adaptive Density Map Generation for Crowd Counting—0
DeepCount: Crowd Counting with WiFi via Deep Learning—0
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