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In this paper a new method for object tracking in complex video scenes is presented. Video object tracking is one of the most challenging tasks in the field of image and video processing. Due to the complexity and the variability of the scenes and objects, there are a lot of challenges one faces. Recently, many tracking approaches have used discriminative models to create robust trackers of specific pixels in video frames called interest points. These trackers allow users to extract the targetdoi:10.24846/v28i3y201910 fatcat:rtfrx5mqzveydggzgmtdterpre