An extensive ROS toolbox for object detection & tracking and face/action recognition with 2D and 3D support which makes your Robot understand the environment
-
Updated
Nov 5, 2021 - Python
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
Multiple-camera Multiple-people Tracking System for L'Oreal retail store business
People flow analysis system for Jetson Nano, Xavier NX, and AGX Xavier.
Person or face detection and matching from multiple image inputs using Intel OpenVINO toolkit
Detect people from video/camera using OpenCV
University of Glasgow, MSc Project
A human detection, tracking and counting system built using deep learning based computer vision.
OpenVINO Python sample program - Face detection, People detection, Age/gender estimation, Pose estimation
Smart video IoT solution using Intel® hardware and software tools
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.
An implementation of faster-rcnn for people detection in python
This files allows you to build a person detection using hog descriptors algorithm from a dji phantom v4 drone video streaming
Human detection package through two LaserScans 2D points
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.
Raspberry-pi script to capture in-store people data and send them to a server
Add a description, image, and links to the people-detection topic page so that developers can more easily learn about it.
To associate your repository with the people-detection topic, visit your repo's landing page and select "manage topics."