| Paper: | IMDSP-P1.5 | ||
| Session: | Motion/Disparity Detection and Estimation | ||
| Time: | Tuesday, May 16, 10:30 - 12:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Motion Detection and Estimation | ||
| Title: | An Efficient Video Alignment Approach for Non-Overlapping Sequences with Free Camera Movement | ||
| Authors: | Omer Shakil, University of Texas, Austin, United States | ||
| Abstract: | This paper describes a method to align two videos. The idea can be extended for alignment of multiple video sequences. The sequences are recorded by un-calibrated video cameras with fixed (but unknown) internal parameters. It will be shown that by using a combination of spatial information, temporal changes and the inbuilt frame-toframe transformation of the video sequences, efficient video alignment can be achieved. The sequences used in the algorithm described may have no or minimal spatial overlap and the camera sources are also allowed free movement in space. Video alignment gives rise to a wide variety of new applications that are not possible when only image-to-image alignment is used. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012