Title

Camera Motion Quantification And Alignment

Abstract

We propose a method to synchronize video sequences of distinct scenes captured by cameras undergoing similar motions. For the general camera motion and 3D scene, the camera ego-motions are featured by fundamental ratios obtained from the fundamental matrices. In the case of pure translation, translational magnitude features is used. These extracted features are invariant to the camera internal parameters, and therefore can be computed without recovering camera trajectories along the image sequences. Consequently, the alignment problem reduces to matching sets of feature vectors, obtained without any knowledge of other sequences. Experimental results demonstrate the accuracy and applications of the proposed method. © 2006 IEEE.

Publication Date

12-1-2006

Publication Title

Proceedings - International Conference on Pattern Recognition

Volume

2

Number of Pages

13-16

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICPR.2006.350

Socpus ID

34047221683 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/34047221683

This document is currently not available here.

Share

COinS