Popular GitHub Repositories for Pedestrians

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

MonoLoco++ and MonStereo for 3D localization, orientation, bounding box dimensions and social distancing from monocular and / or stereo images. PyTorch Official Implementation.

Prediction of the intention of pedestrians to cross the street or not, using Graph Neural Networks and the coordinates of their skeleton that was previously generated using Openpose in the JAAD dataset.

A Lightweight Residual Graph CNN for Pedestrians Trajectory Prediction

A Transformer neural network for autonomous driving to predict the future behavior of surrounding vehicles, pedestrians, and cyclists.

This repository provides the implementation of our paper "Exploring the Potential of Synthetic Data for Pedestrian Analysis" delivered for the "Computer Vision and Cognitive System" course @UNIMORE