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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Wedge, D., Huynh, D., & Kovesi, P. (2006). Motion guided video sequence synchronization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3852 LNCS, pp. 832–841). https://doi.org/10.1007/11612704_83
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