Algorithm for tracking an object based on the mean shift algorithm
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Updated
Dec 16, 2014 - MATLAB
Algorithm for tracking an object based on the mean shift algorithm
GM-PHD filter implementation in python (Gaussian mixture probability hypothesis density filter)
200+ MPH Agile Drone
Probabilistic Hypothesis Density filter with family.
A JavaScript implementation of vatic, the video annotation tool
cooperative localization and target tracking
Integrates target tarcking ,detection and locating methods with Qt Designed UI.
Target tracking using Kalman filter prediction - OpenCV
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.
an optical coded target tracking library.
This repository will be a home to the RFS based filters.
Update targettracker application
Implementation of a Gaussian process regression for motion prediction in target-tracking scenarios (currently under development). Based on C++ used within ROS environment.
Controls subteam code for FRC Team 2637, 2019-2020
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 Filt…
A camera that follows a person based on their face characteristics.
MarStech vision sensor is a low cost sensor for STEM Education
One Dimensional Kalman Filter for Target Tracking
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