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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 211–220 of 371 papers

TitleStatusHype
A Self-Training Approach for Point-Supervised Object Detection and Counting in CrowdsCode1
Learning Error-Driven Curriculum for Crowd Counting—0
DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks—0
Weighing Counts: Sequential Crowd Counting by Reinforcement LearningCode1
Active Crowd Counting with Limited Supervision—0
Fine-Grained Crowd Counting—0
Dense Crowds Detection and Counting with a Lightweight Architecture—0
Bayesian Multi Scale Neural Network for Crowd Counting—0
Exploit the potential of Multi-column architecture for Crowd CountingCode1
Learning to Count in the Crowd from Limited Labeled Data—0
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