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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 201–210 of 371 papers

TitleStatusHype
Direct Measure Matching for Crowd Counting—0
NAS-Count: Counting-by-Density with Neural Architecture Search—0
Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images—0
Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning—0
PaDNet: Pan-Density Crowd Counting—0
PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting—0
Parametric Regression on the Grassmannian—0
PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting—0
People Counting in High Density Crowds from Still Images—0
Pixel-wise Crowd Understanding via Synthetic Data—0
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