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Crowd Counting

27 papers with code ยท Computer Vision
Subtask of Crowds

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A Real-Time Deep Network for Crowd Counting

16 Feb 2020

Automatic analysis of highly crowded people has attracted extensive attention from computer vision research.

CROWD COUNTING

Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning

1 Feb 2020

We consider the problem of few-shot scene adaptive crowd counting.

CROWD COUNTING META-LEARNING

Hybrid Graph Neural Networks for Crowd Counting

31 Jan 2020

In this paper, we present a novel network structure called Hybrid Graph Neural Network (HyGnn) which targets to relieve the problem by interweaving the multi-scale features for crowd density as well as its auxiliary task (localization) together and performing joint reasoning over a graph.

CROWD COUNTING

PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting

16 Jan 2020

For this purpose, a classifier evaluates the density level of the input features and then passes them to the corresponding high and low crowded DAD modules.

CROWD COUNTING

Plug-and-Play Rescaling Based Crowd Counting in Static Images

6 Jan 2020

Crowd counting is a challenging problem especially in the presence of huge crowd diversity across images and complex cluttered crowd-like background regions, where most previous approaches do not generalize well and consequently produce either huge crowd underestimation or overestimation.

CROWD COUNTING

AutoScale: Learning to Scale for Crowd Counting

20 Dec 2019

This alleviates the density pattern shift for density regression methods and facilitates the localization of small instances.

CROWD COUNTING

Towards Building a Real Time Mobile Device Bird Counting System Through Synthetic Data Training and Model Compression

15 Dec 2019

Counting the number of birds in an open sky setting has been an challenging problem due to the large number of bird flocks and the birds can overlap.

CROWD COUNTING MODEL COMPRESSION

CCCNet: An Attention Based Deep Learning Framework for Categorized Crowd Counting

12 Dec 2019

In this paper, we introduce a new variant of crowd counting problem, namely "Categorized Crowd Counting", that counts the number of people sitting and standing in a given image.

CROWD COUNTING

Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction

8 Dec 2019

Then a coarse counter is trained on translated data and applied to the real world.

CROWD COUNTING

Feature-aware Adaptation and Structured Density Alignment for Crowd Counting in Video Surveillance

8 Dec 2019

To reduce the gap, in this paper, we propose a domain-adaptation-style crowd counting method, which can effectively adapt the model from synthetic data to the specific real-world scenes.

CROWD COUNTING DENSITY ESTIMATION DOMAIN ADAPTATION