An Improved Extraction Process of Moving Objects’ Silhouettes in Video Sequences
Tomasz Posłuszny , Barbara Putz
AbstractIn this paper we propose a new method for extracting silhouettes of moving objects in images acquired with a static camera. First the background subtraction algorithm with an adaptive Gaussian mixture model is used to obtain moving regions. The output binary mask is then refined using a region-filtering algorithm based on an adaptive fast-scanning segmentation algorithm. Next, the resulting mask is morphologically processed in order to prepare the input for the GrabCut algorithm. Finally, the GrabCut algorithm leverages spatial and color relationships between pixels in order to improve the background subtraction result. We show through experiments that for certain types of video sequences our approach can perform better than state-of-the-art methods as regards the mask accuracy.
|Publication size in sheets||0.5|
|Book||Jabłoński Ryszard, Brezina Tomas (eds.): Advanced Mechatronics Solutions, Advances in Intelligent Systems and Computing, 2016, Springer, ISBN 978-3-319-23921-7, 668 p., DOI:10.1007/978-3-319-23923-1|
|Keywords in English||motion detection silhouette extraction background subtraction Gaussian mixture model GrabCut|
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