摘要
In this paper, we present an algorithm for segmenting moving objects from videos based on lifting wavelet transform. We firstly segment a video into scenes. Then several iteration of 1D lifting wavelet transforms are performed on each scene on time axis. Because wavelets have the ability of telling apart different frequency, we can extract the sections with high frequency, which represent the moving objects in a video. At last, through binarization and morphologic processing, the moving objects are completely segmented out. Experiments on videos show that our algorithm is very fast and feasible.
源语言 | 英语 |
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主期刊名 | Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR |
页 | 705-710 |
页数 | 6 |
DOI | |
出版状态 | 已出版 - 2008 |
活动 | 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR - Hong Kong, 中国 期限: 30 8月 2008 → 31 8月 2008 |
出版系列
姓名 | Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR |
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卷 | 2 |
会议
会议 | 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR |
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国家/地区 | 中国 |
市 | Hong Kong |
时期 | 30/08/08 → 31/08/08 |
指纹
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Dai, L. L., Gu, F. F., Liu, W. C., & Zhu, L. H. (2008). Using lifting wavelet to segment moving objects from videos. 在 Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR (页码 705-710). 文章 4635870 (Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR; 卷 2). https://doi.org/10.1109/ICWAPR.2008.4635870