| Abstract: |  This thesis deals with verifying the novel entropy-based segmentation algorithm for extracting a moving object from a moving platform, which is proposed in article [1].
The algorithm uses image correction based on combining optical flow and matched features, entropy from information theory to determine best informative attribute, Gaussian Distributions applied to the histogram of features to building clusters and target modeling and matching.
[1] Hyeun Jeong Min and N. Papanikolopoulos. Entropy-based motion segmentation from a moving platform. In Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ
International Conference on, pages 4559 –4564, oct. 2009. doi:10.1109/IROS.2009.5354832..
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