Skip to Main content Skip to Navigation
Conference papers

Efficient and Robust Alignment of Unsynchronized Video Sequences

Georgios Evangelidis 1 Christian Bauckhage 2
1 PERCEPTION [2007-2015] - Interpretation and Modelling of Images and Videos [2007-2015]
Inria Grenoble - Rhône-Alpes, LJK [2007-2015] - Laboratoire Jean Kuntzmann [2007-2015], Grenoble INP [2007-2019] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019]
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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [14 references]  Display  Hide  Download
Contributor : Team Perception <>
Submitted on : Saturday, September 21, 2013 - 11:57:18 AM
Last modification on : Thursday, July 23, 2020 - 10:02:02 AM
Long-term archiving on: : Sunday, December 22, 2013 - 2:45:17 AM


Files produced by the author(s)




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⟩



Record views


Files downloads