Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
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Updated
Jan 27, 2023 - Python
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
Python tools for working with PedX dataset.
Hungarian algorithm + Kalman filter multitarget (multi-object) tracker implementation.
MonoLoco++ and MonStereo for 3D localization, orientation, bounding box dimensions and social distancing from monocular and / or stereo images. PyTorch Official Implementation.
This project uses Histogram of Oriented Gradients for pedestrian detection and Kalman Filter for tracking and prediction
A geospatial dataset focusing on walkability and pedestrian access
Yet Another attempt to build a traffic system in Unity.
AI car & pedestrian tracking in python utilizing computer vision
The Arrogance of Space Mapping Tool
safety-data - react client
Analysis of when and where New York City (NYC) vehicle collisions occur with a focus on collisions involving pedestrians and cyclists.
A Lightweight Residual Graph CNN for Pedestrians Trajectory Prediction
Pre-print version of "Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations"
deployableFiles from the simulation
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
This repository contains a real-time pedestrian detection and tracking system implemented using deep learning techniques, specifically leveraging the YOLO (You Only Look Once) V8 architecture. The system is designed to detect and track pedestrians in low-light conditions, making it suitable for applications such as night-time driving scenarios.
Smart IoT system for managing people congestion in delimited spaces.
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