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.
Python tools for working with PedX dataset.
This project uses Histogram of Oriented Gradients for pedestrian detection and Kalman Filter for tracking and prediction
AI car & pedestrian tracking in python utilizing computer vision
An AI based system that do detects the cars and the pedestrians from a captured video.
Матричное моделирование пассажиропотоков для оптимизации планировки здания.
Haar cascade for detecting vehicles and pedestrians in videos using Python
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
Smart IoT system for managing people congestion in delimited spaces.
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