Abstract
This paper deals with the issue of synchronization of a multi camera system observing dynamic scenes. The developed method presented is not based on the use of local image features that are in general not robust to possible occlusions and noise. Instead, a new approach is introduced allowing a temporal alignment of video sequences using the analysis of moving object traces in scenes in the frequency or spatial domain. This method uses the stereoscopic constraint to apply a temporal correlation by analyzing epipolar lines temporal evolution. Experimental results on real data are presented, and the estimated temporal alignment are quantitatively evaluated and compared to a time truth temporal electronic device in cases of noise and occlusions.
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Guitteny, V., Benosman, R., Charbuillet, C. (2008). Synchronizing Video Sequences from Temporal Epipolar Lines Analysis. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2008. Lecture Notes in Computer Science, vol 5259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88458-3_31
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DOI: https://doi.org/10.1007/978-3-540-88458-3_31
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