Final Year Project

Project Title

Kalman Tracking For Image Processing Applications

Contents Background

Project Description

Tasks

OpenCV

Background

objects must be detected and tracked over a number of frames of video in any image processing application.

Kalman Filtering is one of the most common techniques used for tracking of features

BackgroundTracking red balls

Color Processing

Find Centre of balls

Associate centre of balls

Kalman Filtering

Project Description

The aim of this project is to track one or more red balls over a frame of video

Find the centre of the balls and associate them in multiple frames.

Use Kalman filter to predict the path of the in future as an aid of detection.

Tasks

The video footage of the red ball will need to be recorded

This project will require pure software development

OpenCV

Open computer vision library written in C++

Builds sophisticated vision application.