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Julius Oyeleke 8 th oct 2009

Final Year Project. Julius Oyeleke 8 th oct 2009. Project Title. Kalman Tracking For Image Processing Applications. Contents. Background Project Description Tasks OpenCV. Background.

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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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