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IJCV
2006

Feature-Based Sequence-to-Sequence Matching

13 years 3 months ago
Feature-Based Sequence-to-Sequence Matching
This paper studies the problem of matching two unsynchronized video sequences of the same dynamic scene, recorded by different stationary uncalibrated video cameras. The matching is done both in time and in space, where the spatial matching can be modeled by a homography (for 2D scenarios) or by a fundamental matrix (for 3D scenarios). Our approach is based on matching space-time trajectories of moving objects, in contrast to matching interest points (e.g., corners), as done in regular feature-based image-to-image matching techniques. The sequences are matched in space and time by enforcing consistent matching of all points along corresponding space-time trajectories. By exploiting the dynamic properties of these space-time trajectories, we obtain sub-frame temporal correspondence (synchronization) between the two video sequences. Furthermore, using trajectories rather than feature-points significantly reduces the combinatorial complexity of the spatial point-matching problem when the ...
Yaron Caspi, Denis Simakov, Michal Irani
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2006
Where IJCV
Authors Yaron Caspi, Denis Simakov, Michal Irani
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