Feature-based multi-video synchronization with subframe accuracy

Elhayek, Ahmed and Stoll, Carsten and Kim, Kwang In and Seidel, Hans-Peter and Theobalt, Christian (2012) Feature-based multi-video synchronization with subframe accuracy. In: Pattern recognition. Lecture Notes in Computer Science . Springer Verlag, Berlin, pp. 266-275. ISBN 9783642327162

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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.

Item Type: Contribution in Book/Report/Proceedings
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 69851
Deposited By: ep_importer_pure
Deposited On: 08 Jul 2014 08:34
Refereed?: Yes
Published?: Published
Last Modified: 01 Jan 2020 05:46
URI: https://eprints.lancs.ac.uk/id/eprint/69851

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