The purpose of this project was to investigate the use of different machine learning techniques to detect, and estimate the 2D pose of human arms in unconstrained image data. To do this I implemented a pipeline of methods including Deformable Part Models, Active Appearance Models and Model-free Trackers to localise landmarks on the arms and then track them through video. Languages: Python, Matlab


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