Abstract
In this paper, an image stabilization method based on the adaptive Gaussian mixture model (GMM) is presented in order to smooth down the airborne image vibration. Firstly, the projection algorithm is adopted for the motion estimation; Secondly, GMM parameter is obtained after analyzing characteristics of the first n images; Finally, a stable image sequence is achieved after GMM motion filter operates on the motion parameter. The experimental results show that the method has the advantage of fast speed and effectively smooth unwanted vibration of image sequences.
| Original language | English |
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| Title of host publication | 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 |
| Pages | 3896-3900 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2007 |
| Event | 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada Duration: 7 Oct 2007 → 10 Oct 2007 |
Publication series
| Name | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics |
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| ISSN (Print) | 1062-922X |
Conference
| Conference | 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 |
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| Country/Territory | Canada |
| City | Montreal, QC |
| Period | 7/10/07 → 10/10/07 |
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Deng, H., Jia, Y., Xu, Y., & Liang, W. (2007). An airborne image stabilization method based on the Gaussian mixture model. In 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 (pp. 3896-3900). Article 4413994 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2007.4413994