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Proceedings Paper

Real-time video mosaicking robust to dynamic scenes
Author(s): Nan Jiang; Glen Abousleman; Jennie Si
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Paper Abstract

This paper presents a system for creating a mosaic image from a sequence of images with moving objects present in the scene. This system first uses SIFT-based image registration on the entire image to obtain the initial global projection matrix. After image segmentation, the global motion model is applied to each region for evaluation. The transformation matrix is refined for best projection in each region, and a more precise global transformation matrix is calculated based upon local projections on majority of coherent regions. As a consequence this method is robust to disturbances to the projection model induced by moving objects and motion parallax. In the image blending stage, pixels in coherent regions are weighted by their distances from the overlapping edges to achieve a seamless panorama, while heterogeneous regions are cut and pasted to avoid ghosting or blurring. The most recent information regarding location, shape, and size of the moving foreground objects is therefore reflected in the panorama. Constructed mosaics are presented to demonstrate the performance and robustness of the proposed algorithm.

Paper Details

Date Published: 5 May 2006
PDF: 8 pages
Proc. SPIE 6209, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III, 620907 (5 May 2006); doi: 10.1117/12.665880
Show Author Affiliations
Nan Jiang, Arizona State Univ. (United States)
Glen Abousleman, General Dynamics C4 Systems (United States)
Jennie Si, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 6209:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III
Daniel J. Henry, Editor(s)

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