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Feature-based multi-video synchronization with subframe accuracy

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Published
  • Ahmed Elhayek
  • Carsten Stoll
  • Kwang In Kim
  • Hans-Peter Seidel
  • Christian Theobalt
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Publication date2012
Host publicationPattern recognition: Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria, August 28-31, 2012. Proceedings
EditorsAxel Pinz, Thomas Pock, Horst Bischof, Franz Liberl
Place of PublicationBerlin
PublisherSpringer Verlag
Pages266-275
Number of pages10
ISBN (Electronic)9783642327179
ISBN (Print)9783642327162
Original languageEnglish

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume7476
ISSN (Print)0302-9743

Abstract

We present a novel algorithm for temporally synchronizing multiple videos capturing the same dynamic scene. Our algorithm relies on general image features and it does not require explicitly tracking any specific object, making it applicable to general scenes with complex motion. This is facilitated by our new trajectory filtering and matching schemes that correctly identifies matching pairs of trajectories (inliers) from a large set of potential candidate matches, of which many are outliers. We find globally optimal synchronization parameters by using a stable RANSAC-based optimization approach. For multi-video synchronization, the algorithm identifies an informative subset of video pairs which prevents the RANSAC algorithm from being biased by outliers. Experiments on two-camera and multi-camera synchronization demonstrate the performance of our algorithm.