Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

The sample code for a large-scale crowd counting dataset, NWPU-Crowd.

PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"

This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

System integrated with YOLOv4 and Deep SORT for real-time crowd monitoring, then perform crowd analysis. The system is able to monitor for abnormal crowd activity, social distance violation and restricted entry. The other part of the system can then process crowd movement data into optical flow, heatmap and energy graph.

keras实现的人群密度检测网络"Single Image Crowd Counting via Multi Column Convolutional Neural Network"，欢迎试用、关注并反馈问题...

Unsupervised deep learning system for local anomaly event detection in crowded scenes

Unofficial Pytorch implementation of S-DCNet and SS-DCNet

University of Glasgow, MSc Project

Crowd Counter is a Python App to count faces and ingest that data to InfluxDB.

keras复现人群数量估计网络"CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting"，欢迎试用、关注并反馈问题...

Scalable spatio-temporal clustering method for detection of crowd motion patterns. Implementation in Python 2.7

Estimate number and location of people in crowd image

Crowd Counting

Sample code for video-like crowd prediction

AI Tool for Social Distancing - Master's University Project