Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
-
Updated
May 13, 2024 - Python
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
People detection and tracking in stationary RGB cameras
System integrated with YOLOv4 and Deep SORT for real-time crowd monitoring, then perform crowd analysis. The system is able to monitor for abnormal crowd activity, social distance violation and restricted entry. The other part of the system can then process crowd movement data into optical flow, heatmap and energy graph.
A human detector and tracker, written in python, using YOLOv7 for detection and DeepSORT for tracking the detections from YOLO.
EU funded Horizon 2020 project
The project tracks a person wearing a specific logo t-shirt from video and estimates height of the person
OpenCV projects like Face Recognition, Item Detection, Hand Tracking, Body Detection, Color Detection and more.
CVMHT : Complementary-View Multiple Human Tracking (AAAI 2020).
SORT based human tracking for edge.
Real-time human detection and tracking camera using YOLOV5 and Arduino
Camera based Ground Mapped Real-time Analytics on Movements of People
A prototype with a demonstration video for real-time human pose estimation and walking speed measurement using YOLOv8 with webcam.
This is the repository for the TAICHI algortithm for non-antropomorphic robotic arms.
4D& 3D Reconstructing and Tracking Humans Bodies In videos
A autonomous human-following companion and tasks robot.
Computer vision project for human foot trafficking with data categorization.
During the COVID-19 pandemic it is necessary, to prevent contagion, to keep a safe distance from other individuals, in particular in public places. This project was created to provide a tool that, through Neural Networks and Artificial Vision, exploits images collected by surveillance video systems, producing useful information for respecting in…
The YOLOv8-SORT-Human-Tracking repository demonstrates human tracking using YOLOv8 and the SORT algorithm, showcasing results of using YOLOv8 alone versus the combined method.
The goal of this project is to implement a committee-based tracking ensemble model for human detection and tracking. This repository contains ML models and FairMOT implementation.
Add a description, image, and links to the human-tracking topic page so that developers can more easily learn about it.
To associate your repository with the human-tracking topic, visit your repo's landing page and select "manage topics."