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Erschienen in: International Journal of Machine Learning and Cybernetics 6/2013

01.12.2013 | Original Article

Automatic non-interactive matting of dynamic targets in complex video using Graph Cuts

verfasst von: Yu Zhou, Jinbang Xu

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 6/2013

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Abstract

Extracting moving targets from video automatically and accurately is of great significance in the field of intelligent transport. This paper is devoted to the video object matting problem which is based on solving an optimization problem. The matting problem is severely ill-posed and generally cannot be solved without any extra constraints. In contrast to previous efforts, we develop a new method of automatic non-interactive matting of dynamic objects in complex video. Combining the Orthogonal Gaussian–Hermite Moments algorithm and Graph Cuts, highly stabile scribbles become automatic generation without interaction in the method and are used as the extra constraints in calculating the minimum energy function. The real-time of moving object matting may be improved obviously. Experiments demonstrate that the proposed method can effectively extract moving targets from video in a real-time way. And the method can be widely applied and suited to the extraction of complex video images due to the robustness of these scribbles.

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Metadaten
Titel
Automatic non-interactive matting of dynamic targets in complex video using Graph Cuts
verfasst von
Yu Zhou
Jinbang Xu
Publikationsdatum
01.12.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 6/2013
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-012-0123-7

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