Video stabilization by feature-block motion estimation

Chao Ho Chen, Che Wei Hsu, Chin Hsing Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents a real-time video stabilization method for adjusting unstable frames captured by a vibrating camera. The basic idea is to calculate the vibration degree for compensating the vibration area by block motion detection and analyzing vibration type. A feature block is selected to obtain the vibration vector for checking if the frame is vibrant, and then the missing area is compensated and the overlapping area is adjusted. Experimental results show that the proposed algorithm can effectively reduce the frame vibration in real-time for the general vibration situations of moderate degree and compensate more than 21 pixels.

Original languageEnglish
Title of host publicationProceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Pages557-560
Number of pages4
DOIs
Publication statusPublished - 2008 Dec 1
Event8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 - Kaohsiung, Taiwan
Duration: 2008 Nov 262008 Nov 28

Publication series

NameProceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Volume3

Other

Other8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
CountryTaiwan
CityKaohsiung
Period08-11-2608-11-28

Fingerprint

Motion estimation
Stabilization
Pixels
Cameras

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Chen, C. H., Hsu, C. W., & Chen, C. H. (2008). Video stabilization by feature-block motion estimation. In Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 (pp. 557-560). [4696527] (Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008; Vol. 3). https://doi.org/10.1109/ISDA.2008.340
Chen, Chao Ho ; Hsu, Che Wei ; Chen, Chin Hsing. / Video stabilization by feature-block motion estimation. Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008. 2008. pp. 557-560 (Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008).
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Chen, CH, Hsu, CW & Chen, CH 2008, Video stabilization by feature-block motion estimation. in Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008., 4696527, Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008, vol. 3, pp. 557-560, 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008, Kaohsiung, Taiwan, 08-11-26. https://doi.org/10.1109/ISDA.2008.340

Video stabilization by feature-block motion estimation. / Chen, Chao Ho; Hsu, Che Wei; Chen, Chin Hsing.

Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008. 2008. p. 557-560 4696527 (Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008; Vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - This paper presents a real-time video stabilization method for adjusting unstable frames captured by a vibrating camera. The basic idea is to calculate the vibration degree for compensating the vibration area by block motion detection and analyzing vibration type. A feature block is selected to obtain the vibration vector for checking if the frame is vibrant, and then the missing area is compensated and the overlapping area is adjusted. Experimental results show that the proposed algorithm can effectively reduce the frame vibration in real-time for the general vibration situations of moderate degree and compensate more than 21 pixels.

AB - This paper presents a real-time video stabilization method for adjusting unstable frames captured by a vibrating camera. The basic idea is to calculate the vibration degree for compensating the vibration area by block motion detection and analyzing vibration type. A feature block is selected to obtain the vibration vector for checking if the frame is vibrant, and then the missing area is compensated and the overlapping area is adjusted. Experimental results show that the proposed algorithm can effectively reduce the frame vibration in real-time for the general vibration situations of moderate degree and compensate more than 21 pixels.

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Chen CH, Hsu CW, Chen CH. Video stabilization by feature-block motion estimation. In Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008. 2008. p. 557-560. 4696527. (Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008). https://doi.org/10.1109/ISDA.2008.340