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Julius Oyeleke 8 th oct 2009

This project focuses on tracking multiple red balls in a video frame using Kalman filtering techniques. The objective is to accurately detect and track the center of the balls across various frames, which will involve software development using the OpenCV library. By leveraging the Kalman filter, the project aims to predict the future positions of the balls, aiding in their detection and enhancing tracking accuracy. This application can be beneficial in various fields requiring robust image processing and object tracking capabilities.

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Julius Oyeleke 8 th oct 2009

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  1. Final Year Project Julius Oyeleke8th oct 2009

  2. Project Title Kalman Tracking For Image Processing Applications

  3. Contents • Background • Project Description • Tasks • OpenCV

  4. 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

  5. Background Tracking red balls Color Processing Find Centre of balls Associate centre of balls Kalman Filtering

  6. 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.

  7. Tasks • The video footage of the red ball will need to be recorded • This project will require pure software development

  8. OpenCV • Open computer vision library written in C++ • Builds sophisticated vision application.

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