Browse > Computer Vision > Crowds > Crowd Counting

# Crowd Counting Edit

27 papers with code · Computer Vision

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

# NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting

10 Jan 2020gjy3035/Awesome-Crowd-Counting

In the last decade, crowd counting attracts much attention of researchers due to its wide-spread applications, including crowd monitoring, public safety, space design, etc.

974
10 Jan 2020

# From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer

A dense region can always be divided until sub-region counts are within the previously observed closed set.

76
15 Aug 2019

# Bayesian Loss for Crowd Count Estimation with Point Supervision

In crowd counting datasets, each person is annotated by a point, which is usually the center of the head.

84
10 Aug 2019

# Deep Density-aware Count Regressor

9 Aug 2019GeorgeChenZJ/deepcount

We seek to improve crowd counting as we perceive limits of currently prevalent density map estimation approach on both prediction accuracy and time efficiency.

19
09 Aug 2019

# Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting

Dense crowd counting aims to predict thousands of human instances from an image, by calculating integrals of a density map over image pixels.

0
29 Jul 2019

# Locality-constrained Spatial Transformer Network for Video Crowd Counting

18 Jul 2019sweetyy83/Lstn_fdst_dataset

Then to relate the density maps between neighbouring frames, a Locality-constrained Spatial Transformer (LST) module is introduced to estimate the density map of next frame with that of current frame.

14
18 Jul 2019

# C^3 Framework: An Open-source PyTorch Code for Crowd Counting

5 Jul 2019gjy3035/C-3-Framework

This technical report attempts to provide efficient and solid kits addressed on the field of crowd counting, which is denoted as Crowd Counting Code Framework (C$^3$F).

332
05 Jul 2019

# Dense Scale Network for Crowd Counting

24 Jun 2019rongliangzi/Dense-Scale-Network-for-Crowd-Counting

The key component of our network is the dense dilated convolution block, in which each dilation layer is densely connected with the others to preserve information from continuously varied scales.

6
24 Jun 2019

# Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection

18 Jun 2019val-iisc/lsc-cnn

We introduce a detection framework for dense crowd counting and eliminate the need for the prevalent density regression paradigm.

96
18 Jun 2019

# PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

24 May 2019gjy3035/PCC-Net

Crowd counting from a single image is a challenging task due to high appearance similarity, perspective changes and severe congestion.

45
24 May 2019