Title :
Synchronizing video sequences
Author :
Tuytelaars, Tinne ; Van Gool, Luc
Author_Institution :
ESAT - PSI - Visics, Univ. of Leuven, Belgium
fDate :
27 June-2 July 2004
Abstract :
We present a novel method for automatically synchronizing two video sequences of the same event. Unlike previously proposed methods, we do not put any restrictive constraints on the scene nor on the camera motions: our method can deal with independently moving cameras, wide baseline conditions, and general 3D scenes. It starts from five point correspondences throughout the video sequences, that are provided using wide baseline matching and tracking techniques. It is efficient, in that it can be implemented in a non-combinatorial way. The feasibility of the method is demonstrated by preliminary experimental results.
Keywords :
image matching; image sequences; synchronisation; tracking; video signal processing; 3D scenes; camera motions; moving cameras; restrictive constraints; tracking techniques; video sequence synchronization; wide baseline conditions; wide baseline matching; Digital cameras; Forensics; Geometry; Humans; Layout; Measurement techniques; Performance evaluation; Surveillance; Video recording; Video sequences;
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
Print_ISBN :
0-7695-2158-4
DOI :
10.1109/CVPR.2004.1315108