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

초록

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. © 2014 IEEE.

제목
Video stabilization algorithm using a moving alpha-trimmed mean filter window
저자
Ton-Thi, K.-L.; Nguyen, T.-A.; Hong, M.-C.
DOI
10.1109/ISCE.2014.6884390
발행일
2014
학회명
18th IEEE International Symposium on Consumer Electronics, ISCE 2014
개최지
Jeju
학회 개최일
2014-06-22 ~ 2014-06-25