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Proceedings Paper

A fast feature-based video mosaic
Author(s): Wu Lin; Jingxin Hong; Hao Zhang; Lin Li
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Paper Abstract

This paper presents a fast method to construct an entire panorama from video sequence. Firstly, SURF, which has good performance in computation time and accuracy, is used to detect features for frames from video streams. Secondly, a novel matching scheme based on hash mapping and the ratio between the Euclidean distance to the nearest and the second nearest neighbors is proposed to match SURF features. As there may be some error matchings generated above, especially in the presence of objects moving, a RANSAC technique is applied to eliminate outliers. Besides, in order to avoid mosaicing all video frames which typically contains significant redundancy, we adaptively identify key frames based on the number of tracked feature points. Finally, the wide field of video image is got by stitching the key frames mapped to a reference coordinate system. Experimental results demonstrate the fast-speed and superior quality of this proposed method.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749549 (30 October 2009); doi: 10.1117/12.832759
Show Author Affiliations
Wu Lin, Xiamen Univ. (China)
Jingxin Hong, Xiamen Univ. (China)
Hao Zhang, Xiamen Univ. (China)
Lin Li, Xiamen Univ. (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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