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Fast video stabilization algorithm for UAV

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

30 Scopus citations

Abstract

Video captured from Unmanned Aerial Vehicles (UAV) usually suffer from undesired motion of the sensors, which severely defects detecting and tracking targets of interest. In this paper, a fast video stabilization algorithm for UAV is proposed to remove undesired motions and produce stabilized images. Firstly, a set of fast matching strategies are considered to match successive frames. Then, with motion parameters between two successive frames, a polynomial fitting and predicting method is proposed to estimate the global motion parameters and find out the undesired frames. After that, the undesired images are compensated. Finally, all frames are transformed to obtain stabilized images. Experimental results demonstrate the stabilization and the efficiency of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Pages542-546
Number of pages5
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009 - Shanghai, China
Duration: 20 Nov 200922 Nov 2009

Publication series

NameProceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Volume4

Conference

Conference2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Country/TerritoryChina
CityShanghai
Period20/11/0922/11/09

Keywords

  • Circular block matching
  • Electronic video stabilization
  • Image compensation
  • Polynomial fitting and predicting

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