Paper Info
Title
Synchronizing Video Cameras with Non-overlapping Fields of View
Abstract
This paper describes a method to estimate the temporalalignment between N unsynchronized video sequences captured by cameras with non-overlapping fields of view. The sequences are recorded by stationary video cameras, with fixed intrinsic and extrinsic parameters. The proposedapproach reduces the problem of synchronizing N non-overlapping sequences to the robust estimation of a single line in R^{N+1}. This line captures all temporal relations between the sequences and a moving sensor in the scene, whose locations in the world coordinate system may beestimated at a constant sampling rate. Experimental results with real-world sequences show that our method can accurately align the videos.
Year
DOI
Venue
2008
10.1109/SIBGRAPI.2008.28
SIBGRAPI
Keywords
Field
DocType
non-overlapping field,stationary video camera,non-overlapping fields,extrinsic parameter,real-world sequence,synchronizing n non-overlapping sequence,synchronizing video cameras,constant sampling rate,robust estimation,video sequence,single line,coordinate system,robust estimator,field of view,trajectory,tracking,synchronisation,synchronization
Coordinate system,Computer vision,Synchronization,Computer graphics (images),Computer science,Synchronizing,Sampling (signal processing),Artificial intelligence,Trajectory
Conference
ISSN
Citations 
PageRank 
1530-1834
2
0.38
References 
Authors
17
4
Name
Order
Citations
PageRank
Darlan N. Brito181.15
Flávio L. C. Pádua210210.88
Rodrigo L. Carceroni318218.67
Guilherme A. S. Pereira444533.51