Video stabilization based on high degree B-spline smoothing

Unmanned Aerial Vehicles (UAV) become widely used as they present many advantages for surveillance applications. However, most computer vision algorithms cannot be applied to the video sequences from UAV due to video shaking or blurredness. We propose a method to stabilize the image sequence from UA...

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Bibliographic Details
Published inProceedings of the 21st International Conference on Pattern Recognition (ICPR2012) pp. 3152 - 3155
Main Authors Yue Wang, Chang, R., Teck Wee Chua, Leman, K., Nam Trung Pham
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2012
Subjects
Cameras
Feature extraction
Motion estimation
Smoothing methods
Splines (mathematics)
Streaming media
Transforms
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Summary:Unmanned Aerial Vehicles (UAV) become widely used as they present many advantages for surveillance applications. However, most computer vision algorithms cannot be applied to the video sequences from UAV due to video shaking or blurredness. We propose a method to stabilize the image sequence from UAV cameras. This approach deals with three steps, a keypoint detection step, then a homography estimation and finally a motion compensation using high degree B-spline smoothing. Experimental results from real videos show that our method can perform real time and provide good performance.
ISBN:9781467322164
1467322164
ISSN:1051-4651
2831-7475