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Many promising applications need to track the blurred images in the videos. In most of the object trackers, implicit assumptions are made that the video is blur free. However, in real time videos, motion blur is very common. If severe blur is present in a video the performance of the generic object trackers may go down significantly. The proposed method uses GLCM algorithm for feature extractions from the blurred object and then ANFIS (Adaptive Neuro Fuzzy Inference System) for tracking thosefatcat:mdi3auu7ijd4ncmoc63sk6mfri