Real-time image stabilization for digital video cameras

Wen Chung Kao, Shou Hung Chen, Pei Yung Hsiao

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

3 Citations (Scopus)

Abstract

Real-time image stabilization is particular useful for portable video cameras to compensate the vibrations caused by the photographer. Although several stabilization algorithms have been proposed, very few of them consider the practical implementation issues in a camera platform but only simulate the algorithms in computers. In this paper, we propose a robust real-time algorithm to estimate global motion vector (GMV) and stabilize the video frames by fully utilizing the available computational engine in a typical camera system-on-a-chip (SoC) platform. The resulting video is much stable than the one without applying stabilization, and the speed is fast enough for real-time video recording applications.

Original languageEnglish
Title of host publicationAPCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
Pages1651-1654
Number of pages4
DOIs
Publication statusPublished - 2006 Dec 1
EventAPCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems - , Singapore
Duration: 2006 Dec 42006 Dec 6

Publication series

NameIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Other

OtherAPCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
CountrySingapore
Period06/12/406/12/6

Fingerprint

Digital cameras
Video cameras
Stabilization
Cameras
Video recording
Engines

Keywords

  • And motion compensation
  • Global motion vector estimation
  • Motion stabilization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Kao, W. C., Chen, S. H., & Hsiao, P. Y. (2006). Real-time image stabilization for digital video cameras. In APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems (pp. 1651-1654). [4145726] (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS). https://doi.org/10.1109/APCCAS.2006.342082

Real-time image stabilization for digital video cameras. / Kao, Wen Chung; Chen, Shou Hung; Hsiao, Pei Yung.

APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems. 2006. p. 1651-1654 4145726 (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS).

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

Kao, WC, Chen, SH & Hsiao, PY 2006, Real-time image stabilization for digital video cameras. in APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems., 4145726, IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS, pp. 1651-1654, APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems, Singapore, 06/12/4. https://doi.org/10.1109/APCCAS.2006.342082
Kao WC, Chen SH, Hsiao PY. Real-time image stabilization for digital video cameras. In APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems. 2006. p. 1651-1654. 4145726. (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS). https://doi.org/10.1109/APCCAS.2006.342082
Kao, Wen Chung ; Chen, Shou Hung ; Hsiao, Pei Yung. / Real-time image stabilization for digital video cameras. APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems. 2006. pp. 1651-1654 (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS).
@inproceedings{b8f715d880b043029ac1fc20495b7eae,
title = "Real-time image stabilization for digital video cameras",
abstract = "Real-time image stabilization is particular useful for portable video cameras to compensate the vibrations caused by the photographer. Although several stabilization algorithms have been proposed, very few of them consider the practical implementation issues in a camera platform but only simulate the algorithms in computers. In this paper, we propose a robust real-time algorithm to estimate global motion vector (GMV) and stabilize the video frames by fully utilizing the available computational engine in a typical camera system-on-a-chip (SoC) platform. The resulting video is much stable than the one without applying stabilization, and the speed is fast enough for real-time video recording applications.",
keywords = "And motion compensation, Global motion vector estimation, Motion stabilization",
author = "Kao, {Wen Chung} and Chen, {Shou Hung} and Hsiao, {Pei Yung}",
year = "2006",
month = "12",
day = "1",
doi = "10.1109/APCCAS.2006.342082",
language = "English",
isbn = "1424403871",
series = "IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS",
pages = "1651--1654",
booktitle = "APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems",

}

TY - GEN

T1 - Real-time image stabilization for digital video cameras

AU - Kao, Wen Chung

AU - Chen, Shou Hung

AU - Hsiao, Pei Yung

PY - 2006/12/1

Y1 - 2006/12/1

N2 - Real-time image stabilization is particular useful for portable video cameras to compensate the vibrations caused by the photographer. Although several stabilization algorithms have been proposed, very few of them consider the practical implementation issues in a camera platform but only simulate the algorithms in computers. In this paper, we propose a robust real-time algorithm to estimate global motion vector (GMV) and stabilize the video frames by fully utilizing the available computational engine in a typical camera system-on-a-chip (SoC) platform. The resulting video is much stable than the one without applying stabilization, and the speed is fast enough for real-time video recording applications.

AB - Real-time image stabilization is particular useful for portable video cameras to compensate the vibrations caused by the photographer. Although several stabilization algorithms have been proposed, very few of them consider the practical implementation issues in a camera platform but only simulate the algorithms in computers. In this paper, we propose a robust real-time algorithm to estimate global motion vector (GMV) and stabilize the video frames by fully utilizing the available computational engine in a typical camera system-on-a-chip (SoC) platform. The resulting video is much stable than the one without applying stabilization, and the speed is fast enough for real-time video recording applications.

KW - And motion compensation

KW - Global motion vector estimation

KW - Motion stabilization

UR - http://www.scopus.com/inward/record.url?scp=50249123363&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=50249123363&partnerID=8YFLogxK

U2 - 10.1109/APCCAS.2006.342082

DO - 10.1109/APCCAS.2006.342082

M3 - Conference contribution

AN - SCOPUS:50249123363

SN - 1424403871

SN - 9781424403875

T3 - IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

SP - 1651

EP - 1654

BT - APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems

ER -