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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 221–230 of 371 papers

TitleStatusHype
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View—0
A Study of Human Gaze Behavior During Visual Crowd Counting—0
Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer—0
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting—0
Weakly-Supervised Crowd Counting Learns from Sorting rather than Locations—0
Pixel-wise Crowd Understanding via Synthetic Data—0
Learning Error-Driven Curriculum for Crowd Counting—0
DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks—0
Fine-Grained Crowd Counting—0
Active Crowd Counting with Limited Supervision—0
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