Development of omni-directional image stabilization system using camera posture information

Author(s):  
Ryo Miyauchi ◽  
Naoji Shiroma ◽  
Fumitoshi Matsuno
2011 ◽  
Vol 268-270 ◽  
pp. 1768-1772 ◽  
Author(s):  
Yang Ke Liu ◽  
Chun Zhao Lv ◽  
Chang Li

In the digital image stabilization system, Kalman filter is the most commonly used filter for motion correction. When the wanted movements have large assumptions deviation with the movement model, the result of motion correction will cause divergence and even error. For this problem, a novel motion correction method with adaptive Karlman filter is proposed. The back and forth characteristic of the unwanted motion and the smoothness characteristic of the wanted motion is used to adjust the system noise and the observation error adaptively. Experiment results show that the proposed method can effectively distinguish the wanted and the unwanted movement. Compared with the method with fixed parameters, the proposed method takes into account the smoothness and delay of wanted motion at the same time and it is more adaptively.


2014 ◽  
Author(s):  
A. Casas ◽  
D. Roma ◽  
M. Carmona ◽  
J. M. Gómez ◽  
J. Bosch ◽  
...  

2018 ◽  
Vol 57 (31) ◽  
pp. 9307 ◽  
Author(s):  
Zhichao Dong ◽  
Aimin Jiang ◽  
Yanfeng Dai ◽  
Jianwei Xue

2016 ◽  
Author(s):  
Albert Casas ◽  
José María Gómez ◽  
David Roma ◽  
Manuel Carmona ◽  
Manel López ◽  
...  

2008 ◽  
Vol 25 (4-5) ◽  
pp. 268-283 ◽  
Author(s):  
Ryo Miyauchi ◽  
Naoji Shiroma ◽  
Fumitoshi Matsuno

2013 ◽  
Vol 347-350 ◽  
pp. 3500-3504
Author(s):  
Xiao Ran Guo ◽  
Shao Hui Cui ◽  
Fang Dan

This article presents a novel approach to extract robust local feature points of video sequence in digital image stabilization system. Robust Harris-SIFT detector is proposed to select the most stable SIFT key points in the video sequence where image motion is happened due to vehicle or platform vibration. Experimental results show that the proposed scheme is robust to various transformations of video sequences, such as translation, rotation and scaling, as well as blurring. Compared with the current state-of-the-art schemes, the proposed scheme yields better performances.


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