Object Tracking in Video Using CUDA

This bachelors thesis is focused on implementation of particle filter algorithm in CUDA technology for the purpose of computation acceleration. It describes object tracking methods in video and is especialy aimed at particle filter. It also describes the CUDA architecture. Implementation and optimalization techniques used in application are explained. The work ends with performing speed tests and the tracking ability of the algorithm is verified on various videos