Real-time Video Stabilization Based on Minimal Spanning Tree and Modified Kalman Filter

2018 ◽  
Vol 47 (1) ◽  
pp. 110002 ◽  
Author(s):  
谢亚晋 XIE Ya-jin ◽  
徐之海 XU Zhi-hai ◽  
冯华君 FENG Hua-jun ◽  
李奇 LI Qi ◽  
陈跃庭 CHEN Yue-ting
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Spanning Tree ◽  
Video Stabilization ◽  
Minimal Spanning Tree ◽  
Modified Kalman Filter

Real-Time Video Stabilization Based on Smoothing Feature Trajectories

2014 ◽  
Vol 519-520 ◽  
pp. 640-643 ◽  
Author(s):  
Jing Dong ◽  
Yang Xia
Keyword(s):  
Kalman Filter ◽  
Optical Flow ◽  
Real Time ◽  
Video Stabilization ◽  
Template Match ◽  
Image Composition ◽  
Multiple Feature ◽  
Feature Trajectory ◽  
Inter Frame

In this paper, a real-time video stabilization algorithm based on smoothing feature trajectories is proposed. For each input frame, our approach generates multiple feature trajectories by performing inter-frame template match and optical flow. A Kalman filter is then performed to smooth these feature trajectories. Finally, at the stage of image composition, the motion consistency of the feature trajectory is considered for achieving a visually plausible stabilized video. The proposed method can offer real-time video stabilization and its removed the delays for caching coming images. Experiments show that our approach can offer real-time stabilizing for videos with various complicated scenes.

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