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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 341–350 of 371 papers

TitleStatusHype
Crowd Counting Through Walls Using WiFi—0
Crowd counting via scale-adaptive convolutional neural networkCode0
Deep Spatial Regression Model for Image Crowd Counting—0
Towards a Dedicated Computer Vision Tool set for Crowd Simulation Models—0
Learning a perspective-embedded deconvolution network for crowd counting—0
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs—0
Switching Convolutional Neural Network for Crowd CountingCode0
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd CountingCode0
Spatiotemporal Modeling for Crowd Counting in Videos—0
A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density EstimationCode0
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