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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 231–240 of 371 papers

TitleStatusHype
A Study of Human Gaze Behavior During Visual Crowd Counting—0
A Survey on Computer Vision based Human Analysis in the COVID-19 Era—0
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs—0
Attentional Neural Fields for Crowd Counting—0
Attention Scaling for Crowd Counting—0
Attention to Head Locations for Crowd Counting—0
Audio-Visual Transformer Based Crowd Counting—0
A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting—0
A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis—0
Bayesian Model Adaptation for Crowd Counts—0
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