Motion guided video sequence synchronization

Authors:
Daniel Wedge;Du Huynh;Peter Kovesi
Affiliations:
School of Computer Science & Software Engineering, The University of Western Australia, Crawley, W.A., Australia;School of Computer Science & Software Engineering, The University of Western Australia, Crawley, W.A., Australia;School of Computer Science & Software Engineering, The University of Western Australia, Crawley, W.A., Australia
Venue:
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Year:
2006

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Abstract

We present an algorithm that synchronizes two short video sequences where an object undergoes ballistic motion against stationary scene points. The object’s motion and epipolar geometry are exploited to guide the algorithm to the correct synchronization in an iterative manner. Our algorithm accurately synchronizes videos recorded at different frame rates, and takes few iterations to converge to sub-frame accuracy. We use synthetic data to analyze our algorithm’s accuracy under the influence of noise. We demonstrate that it accurately synchronizes real video sequences, and evaluate its performance against manual synchronization.