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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.
Real-time human detection and tracking camera using YOLOV5 and Arduino
SORT based human tracking for edge.
CVMHT : Complementary-View Multiple Human Tracking (AAAI 2020).
This is the repository for the TAICHI algortithm for non-antropomorphic robotic arms.
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.
4D& 3D Reconstructing and Tracking Humans Bodies In videos
Computer vision project for human foot trafficking with data categorization.
A autonomous human-following companion and tasks robot.
Human Tracking System: Multi-tracker detection and tracking system with YOLOv12 and BoxMOT, optimized for dance videos with mobile deployment capabilities.
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.
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.
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 interpersonal distancing.