Digital image translational and rotational motion stabilization using optical flow technique

Authors:
Jyh-Yeong Chang;Wen-Feng Hu;Mu-Huo Cheng;Bo-Sen Chang
Affiliations:
Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu;-;-;-
Venue:
IEEE Transactions on Consumer Electronics
Year:
2002

Citing 0
Cited 14

Multi-Parameter Simultaneous Estimation on Area-Based Matching

International Journal of Computer Vision
Vision based data fusion for autonomous vehicles target tracking using interacting multiple dynamic models

Computer Vision and Image Understanding
Sensor fusion-based visual target tracking for autonomous vehicles with the out-of-sequence measurements solution

Robotics and Autonomous Systems
Periodic Pattern Detection for Real-Time Application

WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
Robust video stabilization based on particle filter tracking of projected camera motion

IEEE Transactions on Circuits and Systems for Video Technology
Video stabilization for a hand-held camera based on 3D motion model

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
The processing of vectors field for image registration

CSECS '10 Proceedings of the 9th WSEAS international conference on Circuits, systems, electronics, control & signal processing
Video stabilization based on saliency driven SIFT matching and discriminative RANSAC

Proceedings of the Third International Conference on Internet Multimedia Computing and Service
A fast video stabilization system based on speeded-up robust features

ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
New electronic digital image stabilization algorithm in wavelet transform domain

CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Development of image stabilization system using extended kalman filter for a mobile robot

ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Spatio-temporal weighting in local patches for direct estimation of camera motion in video stabilization

Computer Vision and Image Understanding
Video stabilization using maximally stable extremal region features

Multimedia Tools and Applications
Estimation of horizontal and vertical translations of large images based on columns and rows mean energy matching

Multidimensional Systems and Signal Processing

Quantified Score

Hi-index	0.43

Visualization

Abstract

This paper proposes a new digital image stabilization (DIS) system based on optical flow technique. Unlike previous DIS systems developed mainly for removing the translational motion disturbance, the proposed system removes not only the translational but also the rotational motion disturbances. A computational scheme that facilitates the local motion vector field to estimate the global disturbing translational and rotational motions is developed. First, the optical flow technique is used to estimate the local motion vector field of the image, yielding the velocity of each pixel in the current image frame. Then, the global translational and rotational motion parameters are determined in terms of the least squares estimation. Finally, these motion vectors are used to generate the counterbalance signals for removing the disturbance motion. Owing to the additional ability of the rotational motion removal, the new DIS system suppresses the undesirable translational and rotational disturbances effectively and thus enhances the DIS performance significantly