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19 July 2013 Global motion estimation combining with motion segmentation
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Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 887815 (2013) https://doi.org/10.1117/12.2030893
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
Abstract
In order to improve the accuracy of global motion estimation (GME), a new method for GME combining with motion segmentation is proposed in this paper. The proposed method removes motion vector (MV) outliers and implements initial motion segmentation by analyzing properties of motion vectors. Using the filtered MV field, global motion parameters were estimated, and then the difference frame was generated by global motion compensation(GMC ). According to the movement difference between the background and the foreground regions and movement consistency in the same region, the absolute sum of difference frame in every block was calculated, and thus adaptively generating the threshold value to detect motion regions. MVs in the motion regions were rejected as outliers for GME, and iterative computations between GME and motion segmentation were performed successively. Experimental results demonstrate that the proposed approach can effectively extract motion regions, thus enhancing the accuracy of GME.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yaxiang Zhao, Xiaoping Fan, and Shaoqiang Liu "Global motion estimation combining with motion segmentation", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887815 (19 July 2013); https://doi.org/10.1117/12.2030893
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