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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 311320 of 371 papers

TitleStatusHype
Enhancing and Dissecting Crowd Counting By Synthetic Data0
Enhancing people localisation in drone imagery for better crowd management by utilising every pixel in high-resolution images0
Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network0
Feature-aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance0
FGA: Fourier-Guided Attention Network for Crowd Count Estimation0
FGENet: Fine-Grained Extraction Network for Congested Crowd Counting0
Fine-Grained Counting with Crowd-Sourced Supervision0
Fine-Grained Crowd Counting0
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation0
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting0
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