Video stabilization algorithm using a moving alpha-trimmed mean filter window

Author

Kim-Loan Ton-Thi ; Tuan-Anh Nguyen ; Min-Cheol Hong

Author_Institution

Sch. of Electron. Eng., Soongsil Univ., Seoul, South Korea

fYear

2014

fDate

22-25 June 2014

Firstpage

1

Lastpage

2

Abstract

In this paper, a fast video stabilization approach is presented to remove the unwanted camera vibration in video sequence. The proposed method first tracks good features from video sequence by using Kanade-Lucas-Tomasi method, then estimates the affine transform parameters using RANSAC algorithm. Each consecutive frame´s parameters are summed up to form the accumulated trajectory and a moving alpha-trimmed mean filter is used to achieve the smoothed motion. Experimental results show the capability of the proposed algorithm.

Keywords

affine transforms; feature extraction; filtering theory; image enhancement; image sensors; image sequences; motion compensation; motion estimation; parameter estimation; video signal processing; Kanade-Lucas-Tomasi method; RANSAC algorithm; affine transform parameter estimation; fast video stabilization algorithm; image warping; motion compensation; motion estimation; motion smoothing; moving alpha-trimmed mean filter window; unwanted camera vibration removal; video enhancement technique; video sequence; Cameras; Feature extraction; Filtering algorithms; Motion estimation; Smoothing methods; Trajectory; Video sequences; Affine parameter; Alpha-trimmed mean filter; Image warping; Motion smoothing; Video stabilization;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on

Conference_Location

JeJu Island

Type

conf

DOI

10.1109/ISCE.2014.6884390

Filename

6884390