Fuzzy-based motion estimation for video stabilization using SIFT interest points

S. Battiato; G. Gallo; G. Puglisi; S. Scellato

doi:10.1117/12.805660

19 January 2009 Fuzzy-based motion estimation for video stabilization using SIFT interest points

S. Battiato, G. Gallo, G. Puglisi, S. Scellato

Proceedings Volume 7250, Digital Photography V; 72500T (2009) https://doi.org/10.1117/12.805660
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

In this paper we present a technique which infers interframe motion by tracking SIFT features through consecutive frames: feature points are detected and their stability is evaluated through a combination of geometric error measures and fuzzy logic modelling. Our algorithm does not depend on the point detector adopted prior to SIFT descriptor creation: therefore performance have been evaluated against a wide set of point detection algorithms, in order to investigate how to increase stabilization quality with an appropriate detector.

Citation Download Citation

S. Battiato, G. Gallo, G. Puglisi, and S. Scellato "Fuzzy-based motion estimation for video stabilization using SIFT interest points", Proc. SPIE 7250, Digital Photography V, 72500T (19 January 2009); https://doi.org/10.1117/12.805660

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