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Efficient and Robust Alignment of Unsynchronized Video Sequences

Georgios Evangelidis 1 Christian Bauckhage 2 
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
2 Multimedia Pattern Recognition
Fraunhofer IAIS - Fraunhofer Institute for Intelligent Analysis and Information Systems
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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Submitted on : Saturday, September 21, 2013 - 11:57:18 AM
Last modification on : Saturday, June 25, 2022 - 7:45:26 PM
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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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