There are 3 repositories under target-tracking topic.
MarStech vision sensor is a low cost sensor for STEM Education
Sensor Fusion for Target Tracking
基于粒子滤波算法实现多目标实时跟踪
an optical coded target tracking library.
Project codes for NMPC based Target Tracking
Urban Environment Simulator Code for Testing your Target Tracking Algorithms.
The Gaussian Mixture Probability Hypothesis Density filter, GMPHD python implementation
Python implementation of CLEAR multi object tracking (MOT) evaluation metrics
Real-time target tracking for DJI-Tello using HSV color masking
Implementations of some basic algorithms in radar data processing
Probabilistic Multiple Hypothesis Tracking
Probabilistic Hypothesis Density filter with family.
Implementation of a Gaussian process regression for motion prediction in target-tracking scenarios (currently under development). Based on C++ used within ROS environment.
This repository will be a home to the RFS based filters.
Application allows for ifnormation entropy analysis of 2D image data. Analysis outcome can be stored in No-SQL database and then recovered and plotted for better understanding of underlying data
Algorithm for tracking an object based on the mean shift algorithm
200+ MPH Agile Drone
Intelligent Camera Selection Decisions for Target Tracking
A target tracking toolbox developed in Python. It aims to demonstrate how target tracking works and to serve as a testing environment for target tracking problems.
Target tracking using Kalman filter prediction - OpenCV
A camera that follows a person based on their face characteristics.
This is a Python app I created for the DJI Tello to allow it to follow a user with face tracking using OpenCV!
whoisrecon is a Python command-line tool designed for WHOIS reconnaissance, providing a streamlined way to find related domains from current and historical records with wildcard supported searches of email, organization, and more!.
A tracking scheme developed by integrating six tracking methods, DeepSORT StrongSORT OSNet HybridSORT, OCSORT, and ByteTrack, using yolov5
Kalman Camera allows user to simmulate the data of a moving target in 2D, and to capture real time / real world data by recording the targets movement using camera. It is a sross-platform application built with Qt Framework and it supports Linux, Windows, Android and iOS. It is part of the master thesis project "Target Tracking Using Kalman Filter".
One Dimensional Kalman Filter for Target Tracking
Shows multiple countdows, managing the limit and description from database
Code and material related to PhD thesis: The Dark Side of Decentralized Target Tracking
This project summarizes some core traditional visual algorithms commonly used in all drone competitions during undergraduate studies
A motion object tracking application created using OpenCV. After running the application, select the object you want to track.
Auto Scaling Alchemy: Crafting AWS Infrastructure with Terraform and Launch Templates