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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 151–160 of 371 papers

TitleStatusHype
DroneNet: Crowd Density Estimation using Self-ONNs for Drones—0
Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network—0
A Survey on Computer Vision based Human Analysis in the COVID-19 Era—0
Improving Local Features with Relevant Spatial Information by Vision Transformer for Crowd CountingCode0
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection—0
Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives—0
A Spatio-Temporal Attentive Network for Video-Based Crowd Counting—0
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training—0
MAFNet: A Multi-Attention Fusion Network for RGB-T Crowd Counting—0
Multi-scale Feature Aggregation for Crowd Counting—0
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