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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
Dense Crowds Detection and Counting with a Lightweight Architecture—0
Bayesian Multi Scale Neural Network for Crowd Counting—0
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks—0
Learning to Count in the Crowd from Limited Labeled Data—0
Shallow Feature Based Dense Attention Network for Crowd Counting—0
Recurrent Distillation based Crowd Counting—0
Attention Scaling for Crowd Counting—0
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting—0
Relevant Region Prediction for Crowd Counting—0
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method—0
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