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I am a PhD student at Visual Cognitive Systems Lab at Faculty of Computer and Information Science, University of Ljubljana. My research interests are computer vision, visual object tracking, robotics and machine learning. I am involved in the course Advanced Compute Vision Methods as an assistant.
Discriminative Correlation Filters are very popular in visual object tracking due to the efficient implementation and great tracking performance results. Here we present several improvements in discriminative correlation filters.
One of the problems of visual tracking evaluation is a lack of a consistent evaluation methodology. This is hampering the cross-paper tracker comparison and faster advancement of the field. In our research we investigate different aspects of tracking evaluation. A continuous effort that is a part of our work is also the Visual Object Tracking Challenge (VOT).