Monitoring Activities from Multiple Video Streams: Establishing a Common Coordinate Frame
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatio-Temporal Alignment of Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Continuous Multi-Views Tracking using Tensor Voting
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Synchronization and Calibration of Camera Networks from Silhouettes
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Temporal Synchronization of Video Sequences in Theory and in Practice
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
International Journal of Computer Vision
Synchronous Image Acquisition based on Network Synchronization
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
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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.