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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 91–100 of 371 papers

TitleStatusHype
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting—0
Attentional Neural Fields for Crowd Counting—0
Crowd Transformer Network—0
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs—0
A Generalized Loss Function for Crowd Counting and Localization—0
A Survey on Computer Vision based Human Analysis in the COVID-19 Era—0
Crowd Scene Analysis using Deep Learning Techniques—0
CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting—0
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View—0
Causal Influence in Federated Edge Inference—0
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