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Conference Papers Year : 2011

Efficient and Robust Alignment of Unsynchronized Video Sequences

Abstract

This paper addresses the problem of aligning two unsynchronized video sequences. We present a novel approach that allows for temporal and spa- tial alignment of similar videos captured from independently moving cameras. The goal is to synchronize two videos of a scene such that changes between the videos can be detected automatically. This aims at applications in driver assis- tance or surveillance systems but we also envision applications in map building. Our approach is novel in that it adapts an efficient information retrieval frame- work to a computer vision problem. In addition, we extend the recent ECC image- alignment algorithm to the temporal dimension in order to improve spatial regis- tration and enable synchro refinement. Experiments with traffic videos recorded by in-vehicle cameras demonstrate the efficiency of the proposed method and verify its effectiveness with respect to spatio-temporal alignment accuracy.
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Dates and versions

hal-00864392 , version 1 (21-09-2013)

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Georgios Evangelidis, Christian Bauckhage. Efficient and Robust Alignment of Unsynchronized Video Sequences. DAGM 2011 - 33rd Annual Symposium of the German Association for Pattern Recognition, Aug 2011, Frankfurt, Germany. pp.286-295, ⟨10.1007/978-3-642-23123-0_29⟩. ⟨hal-00864392⟩
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