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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

Showing 201210 of 371 papers

TitleStatusHype
Towards Using Count-level Weak Supervision for Crowd Counting0
Toward Understanding Crowd Mobility in Smart Cities through the Internet of Things0
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection0
Trap-Based Pest Counting: Multiscale and Deformable Attention CenterNet Integrating Internal LR and HR Joint Feature Learning0
Understanding the impact of mistakes on background regions in crowd counting0
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting0
Vicinal Counting Networks0
Fast Video Crowd Counting with a Temporal Aware Network0
Video Individual Counting for Moving Drones0
VMambaCC: A Visual State Space Model for Crowd Counting0
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