@inproceedings{0c34c37dd991433ba63372c66db80480,
title = "Moving object removal based on global feature registration",
abstract = "A moving object in a video sequence is removed and corresponding background is completed by using a novel global feature registration technique. To find a 2D homography between two adjacent video frames, we track background and foreground features, separately. After estimating the homography, we extract and remove the moving object in every frame. To fill the background of the removed object accurately, we introduce a global feature registration technique. The technique iteratively reduces and distributes the accumulation errors associated to global video registration. Experimental results show that the proposed technique yields seamless background sequences.",
author = "Park, {Soon Yong} and Jaekyoung Moon and Park, {Chang Joon} and Inho Lee",
year = "2006",
doi = "10.1007/11864349_25",
language = "English",
isbn = "3540446303",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "275--286",
booktitle = "Advanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings",
address = "Germany",
note = "8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006 ; Conference date: 18-09-2006 Through 21-09-2006",
}