Object tracking in video signals using Compressive Sensing

02/08/2019

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by   Marijana Kracunov, et al.

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Reducing the number of pixels in video signals while maintaining quality needed for recovering the trace of an object using Compressive Sensing is main subject of this work. Quality of frames, from video that contains moving object, are gradually reduced by keeping different number of pixels in each iteration, going from 45 object, results were satisfactory and showed mere changes in trajectory graphs, obtained from original and reconstructed videos.