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This paper describes a method to estimate the temporal alignment 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 proposed approach reduces the problem of synchronizing N nonoverlapping 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 be estimated at a constant sampling rate. Experimental results with real-world sequences show that our method can accurately align the videos.

a b s t r a c tThis paper presents a robust technique for temporally aligning multiple video sequences that have no spatial overlap between their fields of view. It is assumed that (i) a moving target with known trajectory is viewed by all cameras at non-overlapping periods in time, (ii) the target trajectory is estimated with a limited error at a constant sampling rate, and (iii) the sequences are recorded by stationary cameras with constant frame rates and fixed intrinsic and extrinsic parameters. The proposed approach reduces the problem of synchronizing N non-overlapping sequences to the problem of robustly estimating a single line from a set of appropriately-generated points in R Nþ1 . This line describes all temporal relations between the N sequences and the moving target. Our technique can handle arbitrarily-large misalignments between the sequences and does not require any a priori information about their temporal relations. Experimental results with real-world and synthetic sequences demonstrate that our method can accurately align the videos.

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