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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
Uncertainty Estimation and Sample Selection for Crowd CountingCode0
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View0
Distribution Matching for Crowd CountingCode1
A Study of Human Gaze Behavior During Visual Crowd Counting0
Completely Self-Supervised Crowd Counting via Distribution MatchingCode1
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark MethodCode1
Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer0
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting0
Weakly-Supervised Crowd Counting Learns from Sorting rather than Locations0
Pixel-wise Crowd Understanding via Synthetic Data0
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