Advanced feature based digital video stabilization

The present paper describes a low-cost algorithm for video stabilization. Like other feature based algorithms, it is robust to motion blur, noise and illumination changes. Moreover, maintaining real time processing, it is not negatively affected by moving objects in the scene, works fine even in con...

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Bibliographic Details
Published in2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) pp. 54 - 56
Main Authors Spampinato, Giuseppe, Bruna, Arcangelo Ranieri, Guarneri, Ivana, Tomaselli, Valeria
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2016
Subjects
Computer vision
Conferences
Estimation
feature based algorithms
Feature extraction
feature matching
outlier removal
Robustness
Streaming media
Video stabilization
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DOI10.1109/ICCE-Berlin.2016.7684716

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Summary:The present paper describes a low-cost algorithm for video stabilization. Like other feature based algorithms, it is robust to motion blur, noise and illumination changes. Moreover, maintaining real time processing, it is not negatively affected by moving objects in the scene, works fine even in conditions of low details in the background and it is robust to scene changes.
DOI:10.1109/ICCE-Berlin.2016.7684716