Hungarian algorithm + Kalman filter multitarget (multi-object) tracker implementation.
-
Updated
Nov 16, 2024 - C++
Hungarian algorithm + Kalman filter multitarget (multi-object) tracker implementation.
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
Analysis of when and where New York City (NYC) vehicle collisions occur with a focus on collisions involving pedestrians and cyclists.
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.
deployableFiles from the simulation
safety-data - react client
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
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
Матричное моделирование пассажиропотоков для оптимизации планировки здания.
The Arrogance of Space Mapping Tool
Yet Another attempt to build a traffic system in Unity.
Haar cascade for detecting vehicles and pedestrians in videos using Python
Pre-print version of "Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations"
MonoLoco++ and MonStereo for 3D localization, orientation, bounding box dimensions and social distancing from monocular and / or stereo images. PyTorch Official Implementation.
A Lightweight Residual Graph CNN for Pedestrians Trajectory Prediction
An AI based system that do detects the cars and the pedestrians from a captured video.
AI car & pedestrian tracking in python utilizing computer vision
Smart IoT system for managing people congestion in delimited spaces.
Add a description, image, and links to the pedestrians topic page so that developers can more easily learn about it.
To associate your repository with the pedestrians topic, visit your repo's landing page and select "manage topics."