@inproceedings{e87d9bc7541d4fdab9927b2e2de19978,
title = "Using lifting wavelet to segment moving objects from videos",
abstract = "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.",
keywords = "Image processing, Lifting wavelet, Moving objects segmentation, Video processing",
author = "Dai, {Liu Ling} and Gu, {Fang Fang} and Liu, {Wan Chun} and Zhu, {Lie Huang}",
year = "2008",
doi = "10.1109/ICWAPR.2008.4635870",
language = "English",
isbn = "9781424422395",
series = "Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR",
pages = "705--710",
booktitle = "Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR",
note = "2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR ; Conference date: 30-08-2008 Through 31-08-2008",
}