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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 191200 of 371 papers

TitleStatusHype
Localization in the Crowd with Topological ConstraintsCode1
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting0
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd CountingCode1
PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing ImagesCode1
Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large ScenesCode1
Counting People by Estimating People FlowsCode1
Modeling Noisy Annotations for Crowd Counting0
A Strong Baseline for Crowd Counting and Unsupervised People Localization0
AdaCrowd: Unlabeled Scene Adaptation for Crowd CountingCode1
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting0
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