Abstract
Stereo video object segmentation is a critical technology of the new generation of video coding, video retrieval and other emerging interactive multimedia field. This paper presents a redundant discrete wavelet transforms based stereo video object segmentation algorithm. First, the redundant discrete wavelet transforms (RDWT) are used to obtain the parallax and then the stereo video parallax is used to do object segmentation. For the moving objects in the stereo video sequence, motion area is extracted form the redundant wavelet transform domain. Experimental results show that the algorithm can not only segment the overlapping objects, but also segment the stationary objects and moving objects at the same time with better accuracy and robustness.
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Gao, T., Zhao, J., Jia, Y. (2011). Stereo Video Segmentation Used Disparity Estimation and Redundant Discrete Wavelet Transforms. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_67
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DOI: https://doi.org/10.1007/978-3-642-19853-3_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19852-6
Online ISBN: 978-3-642-19853-3
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