Supplementary material for:
"Short-Term Motion-Based Object Segmentation"
Marina Georgia Arvanitidou, Michael Tok, Andreas Krutz and Thomas Sikora
IEEE International Conference on Multimedia & Expo (ICME), Barcelona, Spain, 11.07.2011 - 15.07.2011
Motion-based segmentation approaches employ either long-term motion information or suffer from lack of accuracy and robustness. We present an automatic motion-based object segmentation algorithm for video sequences with moving camera, employing short-term motion information solely. For every frame, two error frames are generated using motion compensation. They are combined and a thresholding segmentation algorithm is applied. Recent advances in the field of global motion estimation enable outlier elimination in the background area, and thus a more precise definition of the foreground is achieved. We propose a simple and effective error frame generation and we consider spatial error localization. Thus, we achieve improved performance compared with a previously proposed short-term motion-based method and we provide subjective as well as objective evaluation.
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