Abstract
We present an algorithm that synchronizes two short video sequences where an object undergoes ballistic motion against stationary scene points. The object's motion and epipolar geometry are exploited to guide the algorithm to the correct synchronization in an iterative manner. Our algorithm accurately synchronizes videos recorded at different frame rates, and takes few iterations to converge to sub-frame accuracy. We use synthetic data to analyze our algorithm's accuracy under the influence of noise. We demonstrate that it accurately synchronizes real video sequences, and evaluate its performance against manual synchronization.
| Original language | English |
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| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 3852 |
| Place of Publication | Germany |
| Publisher | Springer-Verlag London Ltd. |
| Pages | 832-841 |
| Volume | II |
| ISBN (Print) | 03029743 |
| Publication status | Published - 2006 |
| Event | Motion Guided Video Sequence Synchronization - Hyderabad Duration: 1 Jan 2006 → … |
Conference
| Conference | Motion Guided Video Sequence Synchronization |
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| Period | 1/01/06 → … |