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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 231–240 of 371 papers

TitleStatusHype
Understanding the impact of mistakes on background regions in crowd counting—0
CNN-based Density Estimation and Crowd Counting: A SurveyCode2
Efficient Crowd Counting via Structured Knowledge TransferCode1
3D Crowd Counting via Geometric Attention-guided Multi-View Fusion—0
Encoder-Decoder Based Convolutional Neural Network with Multi-Scale-Aware Modules for Crowd CountingCode1
Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning—0
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd CountingCode1
Crowd Counting via Hierarchical Scale Recalibration Network—0
NAS-Count: Counting-by-Density with Neural Architecture Search—0
Towards Using Count-level Weak Supervision for Crowd Counting—0
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