Smart IoT system for managing people congestion in delimited spaces.
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Updated
Jan 24, 2020 - Python
Smart IoT system for managing people congestion in delimited spaces.
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
An AI based system that do detects the cars and the pedestrians from a captured video.
Haar cascade for detecting vehicles and pedestrians in videos using Python
Матричное моделирование пассажиропотоков для оптимизации планировки здания.
AI car & pedestrian tracking in python utilizing computer vision
This project uses Histogram of Oriented Gradients for pedestrian detection and Kalman Filter for tracking and prediction
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.
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
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