The main goal of MOTrack thesis is to implement a real-time visual object tracker algorithm. This algorithm will process the image of a camera to find an object of interest and track its position throughout time. It is not the goal of an object tracker to identify or categorize objects, which is done by other algorithms, the goal is to follow a generic object through succeeding video frames.
The outcome of this thesis is a common component of Augmented Reality applications or any other applications which do video object/region detection. It has the potential to improve future and existing projects like: ShopView, PHAR, QuadAALper, MultiPersonTracking.
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