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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 171–180 of 371 papers

TitleStatusHype
Bayesian Multi Scale Neural Network for Crowd Counting—0
Embodied Crowd Counting—0
EHNet: An Efficient Hybrid Network for Crowd Counting and Localization—0
FGENet: Fine-Grained Extraction Network for Congested Crowd Counting—0
Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation—0
Fine-Grained Crowd Counting—0
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation—0
Crowd Counting and Individual Localization Using Pseudo Square Label—0
Bayesian Model Adaptation for Crowd Counts—0
HDNet: A Hierarchically Decoupled Network for Crowd Counting—0
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