An extensive ROS toolbox for object detection & tracking and face/action recognition with 2D and 3D support which makes your Robot understand the environment

YOLOv8 re-implementation for human detection using PyTorch

People flow analysis system for Jetson Nano, Xavier NX, and AGX Xavier.

Multiple-camera Multiple-people Tracking System for L'Oreal retail store business

Person or face detection and matching from multiple image inputs using Intel OpenVINO toolkit

Detect people from video/camera using OpenCV

A human detection, tracking and counting system built using deep learning based computer vision.

University of Glasgow, MSc Project

Smart video IoT solution using Intel® hardware and software tools

OpenVINO Python sample program - Face detection, People detection, Age/gender estimation, Pose estimation

An implementation of faster-rcnn for people detection in python

This ROS package combines multiple laser scans from RPLIDAR A3M1 lasers into a calibrated point cloud. This package will then track the ankles of moving people in the point cloud and predict their paths with linear regression.

Real-time footfall analysis in retail stores.

Human detection package through two LaserScans 2D points

This files allows you to build a person detection using hog descriptors algorithm from a dji phantom v4 drone video streaming

Computer Vision project for detection, rectification and identification of paintings in the "Galleria Estense" art gallery in Modena (Italy)

A dashboard for monitoring 1 meter social distancing for outdoor areas using computer vision

Liblab, kütüphane doluluk oranı hakkında çalışmalar yapan IoT tabanlı bir görüntü işleme projesidir.