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Video stabilisation using local salient feature in particle filter framework

Authors:

Xiaoyan ZhangAuthors Info & Claims

International Journal of Wireless and Mobile Computing, Volume 6, Issue 1

Pages 72 - 79

https://doi.org/10.1504/IJWMC.2013.053034

Published: 01 April 2013 Publication History

Abstract

A novel digital video stabilisation approach that uses salient features and particle filter for global motion estimation is proposed in this paper. In this approach, the local salient features are first gained by the improved K-means clustering method using the features obtained from the Scale Invariant Feature Transform SIFT feature points extracted from the down-sampled images, and then the salient regions are located in the video frames. The trajectory of the features extracted from the salient regions is used to estimate global motion between frames. A new similarity function called SRMSE Salient Region Mean Square Error is proposed in particle filter framework to reduce the computational cost. Motion compensation yields stabilised video sequences using the estimates. Experimental results demonstrate that the proposed algorithm has good performance and improves the efficiency significantly.

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Cited By

Roberto MMaia HPedrini H(2023)Survey on Digital Video Stabilization: Concepts, Methods, and ChallengesACM Computing Surveys10.1145/349452555:3(1-37)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3494525
(2018)An improved image classification based on K-means clustering and BoW modelInternational Journal of Grid and Utility Computing10.1504/IJGUC.2018.0902259:1(37-42)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1504/IJGUC.2018.090225
(2017)Research on visual background extractor to identify the vehicles based on edge similarityInternational Journal of Wireless and Mobile Computing10.1504/IJWMC.2017.08735713:1(8-14)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1504/IJWMC.2017.087357
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Video stabilisation using local salient feature in particle filter framework
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Information & Contributors

Information

Published In

cover image International Journal of Wireless and Mobile Computing

International Journal of Wireless and Mobile Computing Volume 6, Issue 1

April 2013

97 pages

ISSN:1741-1084

EISSN:1741-1092

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Inderscience Publishers

Geneva 15, Switzerland

Publication History

Published: 01 April 2013

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Citations

Cited By

Roberto MMaia HPedrini H(2023)Survey on Digital Video Stabilization: Concepts, Methods, and ChallengesACM Computing Surveys10.1145/349452555:3(1-37)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3494525
(2018)An improved image classification based on K-means clustering and BoW modelInternational Journal of Grid and Utility Computing10.1504/IJGUC.2018.0902259:1(37-42)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1504/IJGUC.2018.090225
(2017)Research on visual background extractor to identify the vehicles based on edge similarityInternational Journal of Wireless and Mobile Computing10.1504/IJWMC.2017.08735713:1(8-14)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1504/IJWMC.2017.087357
Wu ZDeng CSun X(2015)Fast image matching algorithm based on template partitioning and subtemplate matchingInternational Journal of Wireless and Mobile Computing10.1504/IJWMC.2015.0709438:4(377-383)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1504/IJWMC.2015.070943
Yang F(2015)Automated image-based protein subcellular location prediction in human reproductive tissue based on ensemble learning global and local patternsInternational Journal of Wireless and Mobile Computing10.1504/IJWMC.2015.0709428:4(367-376)Online publication date: 1-Aug-2015
https://dl.acm.org/doi/10.1504/IJWMC.2015.070942
Wang ZLiao YLiu QLi C(2015)Motion estimation and spatial-temporal filter-based infrared small target detection algorithmInternational Journal of Wireless and Mobile Computing10.1504/IJWMC.2015.0693888:3(256-261)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1504/IJWMC.2015.069388
Ma LZhang Y(2015)Bacterial foraging-based SIFT for full moon image direction estimationInternational Journal of Wireless and Mobile Computing10.1504/IJWMC.2015.0686338:2(200-205)Online publication date: 1-Apr-2015
https://dl.acm.org/doi/10.1504/IJWMC.2015.068633

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