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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 191–200 of 371 papers

TitleStatusHype
DAFE-FD: Density Aware Feature Enrichment for Face Detection—0
DASECount: Domain-Agnostic Sample-Efficient Wireless Indoor Crowd Counting via Few-shot Learning—0
DeepCount: Crowd Counting with WiFi via Deep Learning—0
Deep Imbalanced Regression via Hierarchical Classification Adjustment—0
DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks—0
Deep Spatial Regression Model for Image Crowd Counting—0
Dense Crowds Detection and Counting with a Lightweight Architecture—0
Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization—0
Depth Information Guided Crowd Counting for Complex Crowd Scenes—0
Diffusion-based Data Augmentation for Object Counting Problems—0
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