Proceedings Article10.1109/ICME.2004.1394117
A robust and efficient video stabilization algorithm
Hung-Chang Chang,Shang-Hong Lai,Kuang-Rong Lu +2 more
- 27 Jun 2004
- Vol. 1, pp 29-32
TL;DR: A real-time robust video stabilization algorithm to remove undesirable motion jitter and produce a stabilized video by fitting the optical flow field to a simplified affine motion model with a trimmed least squares method.
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Abstract: The acquisition of digital video usually suffers from undesirable camera jitter due to unstable random camera motion, which is produced by a hand-held camera or a camera in a vehicle moving on a non-smooth road or terrain We propose a real-time robust video stabilization algorithm to remove undesirable motion jitter and produce a stabilized video We first compute the optical flow between successive frames, followed by estimating the camera motion by fitting the computed optical flow field to a simplified affine motion model with a trimmed least squares method Then, the computed camera motions are smoothed temporally to reduce the motion vibrations by using a regularization method Finally, we transform all frames of the video based on the original and smoothed motions to obtain a stabilized video Experimental results are given to demonstrate the stabilization performance and the efficiency of the proposed algorithm
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Citations
Video stabilization using robust feature trajectories
Ken-Yi Lee,Yung-Yu Chuang,Bing-Yu Chen,Ming Ouhyoung +3 more
- 01 Sep 2009
TL;DR: A method to directly stabilize a video without explicitly estimating camera motion, thus assuming neither motion models nor dominant motion is proposed and can deal with complicated videos containing near, large and multiple moving objects.
Video Stabilization Using Scale-Invariant Features
Rong Hu,Rongjie Shi,I-Fan Shen,Wenbin Chen +3 more
- 04 Jul 2007
TL;DR: This paper presents a practical method to remove the annoying shaky motion and reconstruct a stabilized video sequence with good visual quality using the scale invariant (SIFT) features to estimate the camera motion.
109
Digital image stabilization based on circular block matching
Lidong Xu,Xinggang Lin +1 more
TL;DR: The experimental results demonstrate that the proposed DIS technique can generate more precise GMP and deal with larger motions compared with the ever presented optical flow based digital image stabilization technique.
91
Real-time video stabilization without phantom movements for micro aerial vehicles
TL;DR: A new approach of video stabilization which can be used in real time without generating false movements is presented, which uses a combination of a low-pass filter and control action information to estimate the motion intention.
Real-Time Model-Based Video Stabilization for Microaerial Vehicles
TL;DR: A combination of geometric transformations and outliers rejection to obtain a robust inter-frame motion estimation, and a Kalman filter based on an ANN learned model of the MAV that includes the control action for motion intention estimation are used.
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Probabilistic video stabilization using Kalman filtering and mosaicing
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TL;DR: This paper presents a new image processing method to remove unwanted vibrations and reconstruct a video sequence void of sudden camera movements based on a probabilistic estimation framework, and shows a significant improvement in stabilization quality.
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Fast electronic digital image stabilization for off-road navigation
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Spatio-temporal optimization method for determining motion vector fields under non-stationary illumination
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