Motion Guided Video Sequence Synchronization

Daniel Wedge, Du Huynh, Peter Kovesi

    Research output: Chapter in Book/Conference paperConference paperpeer-review

    6 Citations (Scopus)


    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.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 3852
    Place of PublicationGermany
    PublisherSpringer-Verlag London Ltd.
    ISBN (Print)03029743
    Publication statusPublished - 2006
    EventMotion Guided Video Sequence Synchronization - Hyderabad
    Duration: 1 Jan 2006 → …


    ConferenceMotion Guided Video Sequence Synchronization
    Period1/01/06 → …


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